#
# Result of GermanUpperLowercaseWords and AutomaticConfusionRuleEvaluator.
# Words that exist in uppercase and lowercase. Note that the validation
# set is often quite small or 0, e.g. "0+121".
#
aalen; Aalen; 10                                    # p=1.000, r=0.636, 0+121, 3grams, 2016-08-23
abfahrt; Abfahrt; 100                               # p=1.000, r=0.562, 0+210, 3grams, 2016-08-23
abfrage; Abfrage; 100                               # p=1.000, r=0.526, 0+57, 3grams, 2016-08-23
abfragen; Abfragen; 1                               # p=1.000, r=0.156, 10+125, 3grams, 2016-08-23
abfuhr; Abfuhr; 100                                 # p=1.000, r=0.400, 5+25, 3grams, 2016-08-23
abrieb; Abrieb; 10                                  # p=1.000, r=0.471, 0+34, 3grams, 2016-08-23
abriss; Abriss; 10                                  # p=1.000, r=0.803, 10+304, 3grams, 2016-08-23
absage; Absage; 100                                 # p=1.000, r=0.837, 0+80, 3grams, 2016-08-23
absagen; Absagen; 1                                 # p=1.000, r=0.581, 31+12, 3grams, 2016-08-23
abschnitte; Abschnitte; 100                         # p=1.000, r=0.705, 2+449, 3grams, 2016-08-23
abschnitten; Abschnitten; 10                        # p=1.000, r=0.800, 5+205, 3grams, 2016-08-23
absprachen; Absprachen; 1                           # p=1.000, r=0.789, 2+36, 3grams, 2016-08-23
abstand; Abstand; 1                                 # p=1.000, r=0.936, 2+1000, 3grams, 2016-08-23
abstiege; Abstiege; 10                              # p=1.000, r=0.375, 0+8, 3grams, 2016-08-23
abstürze; Abstürze; 10                              # p=1.000, r=0.222, 0+18, 3grams, 2016-08-23
abteile; Abteile; 10                                # p=1.000, r=0.282, 0+39, 3grams, 2016-08-23
abtritt; Abtritt; 1                                 # p=1.000, r=0.556, 3+6, 3grams, 2016-08-23
alleinreisende; Alleinreisende; 1                   # p=1.000, r=0.500, 2+0, 3grams, 2016-08-23
allergen; Allergen; 1                               # p=1.000, r=0.250, 6+22, 3grams, 2016-08-23
allergene; Allergene; 1                             # p=1.000, r=0.389, 3+33, 3grams, 2016-08-23
allergenen; Allergenen; 1                           # p=1.000, r=0.714, 0+7, 3grams, 2016-08-23
alltags; Alltags; 10                                # p=1.000, r=0.794, 2+95, 3grams, 2016-08-23
andachten; Andachten; 10                            # p=1.000, r=0.500, 1+27, 3grams, 2016-08-23
android; Android; 1                                 # p=1.000, r=0.155, 0+71, 3grams, 2016-08-23
androide; Androide; 1                               # p=1.000, r=0.250, 0+4, 3grams, 2016-08-23
androiden; Androiden; 10                            # p=1.000, r=0.306, 0+49, 3grams, 2016-08-23
anfahrt; Anfahrt; 1                                 # p=1.000, r=0.733, 0+15, 3grams, 2016-08-23
anfragen; Anfragen; 100                             # p=1.000, r=0.619, 3+136, 3grams, 2016-08-23
angestellter; Angestellter; 1000                    # p=1.000, r=0.716, 13+82, 3grams, 2016-08-23
angriff; Angriff; 10                                # p=1.000, r=0.847, 43+1000, 3grams, 2016-08-23
angriffen; Angriffen; 1                             # p=1.000, r=0.889, 42+273, 3grams, 2016-08-23
ängste; Ängste; 1                                   # p=1.000, r=0.849, 0+73, 3grams, 2016-08-23
anhänge; Anhänge; 1000                              # p=1.000, r=0.359, 2+37, 3grams, 2016-08-23
anliegen; Anliegen; 1                               # p=1.000, r=0.920, 17+232, 3grams, 2016-08-23
annahmen; Annahmen; 1000                            # p=1.000, r=0.638, 34+190, 3grams, 2016-08-23
anreden; Anreden; 1                                 # p=1.000, r=0.462, 7+6, 3grams, 2016-08-23
anreise; Anreise; 100                               # p=1.000, r=0.610, 0+41, 3grams, 2016-08-23
anreisen; Anreisen; 1                               # p=1.000, r=0.824, 16+1, 3grams, 2016-08-23
anreize; Anreize; 100                               # p=1.000, r=0.761, 0+46, 3grams, 2016-08-23
anrichte; Anrichte; 1                               # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
anrichten; Anrichten; 1                             # p=1.000, r=1.000, 41+1, 3grams, 2016-08-23
anrufe; Anrufe; 10                                  # p=1.000, r=0.394, 7+26, 3grams, 2016-08-23
ansage; Ansage; 1                                   # p=1.000, r=0.947, 1+18, 3grams, 2016-08-23
ansagen; Ansagen; 1                                 # p=1.000, r=0.409, 4+18, 3grams, 2016-08-23
anschreiben; Anschreiben; 1                         # p=1.000, r=1.000, 4+1, 3grams, 2016-08-23
ansinnen; Ansinnen; 1                               # p=1.000, r=0.974, 0+38, 3grams, 2016-08-23
ansprachen; Ansprachen; 1                           # p=1.000, r=0.761, 6+40, 3grams, 2016-08-23
anstand; Anstand; 10                                # p=1.000, r=0.825, 5+35, 3grams, 2016-08-23
anstrich; Anstrich; 10                              # p=1.000, r=0.508, 2+57, 3grams, 2016-08-23
antonym; Antonym; 1                                 # p=1.000, r=0.875, 0+16, 3grams, 2016-08-23
antonyme; Antonyme; 1                               # p=1.000, r=0.500, 0+8, 3grams, 2016-08-23
antrieb; Antrieb; 10                                # p=1.000, r=0.749, 17+500, 3grams, 2016-08-23
antriebe; Antriebe; 100                             # p=1.000, r=0.542, 0+83, 3grams, 2016-08-23
antrieben; Antrieben; 10                            # p=1.000, r=0.296, 2+25, 3grams, 2016-08-23
anzahlen; Anzahlen; 10                              # p=1.000, r=0.889, 0+18, 3grams, 2016-08-23
arabeske; Arabeske; 10                              # p=1.000, r=0.700, 0+10, 3grams, 2016-08-23
arabesken; Arabesken; 100                           # p=1.000, r=0.500, 1+7, 3grams, 2016-08-23
ärger; Ärger; 10                                    # p=1.000, r=0.798, 3+165, 3grams, 2016-08-23
äste; Äste; 10                                      # p=1.000, r=0.711, 0+114, 3grams, 2016-08-23
ästen; Ästen; 10                                    # p=1.000, r=0.671, 1+75, 3grams, 2016-08-23
aufbauten; Aufbauten; 10                            # p=1.000, r=0.507, 16+53, 3grams, 2016-08-23
auffahrt; Auffahrt; 10                              # p=1.000, r=0.548, 0+42, 3grams, 2016-08-23
aufgeboten; Aufgeboten; 1                           # p=1.000, r=1.000, 13+4, 3grams, 2016-08-23
aufrufe; Aufrufe; 10                                # p=1.000, r=0.574, 1+46, 3grams, 2016-08-23
aufstiege; Aufstiege; 1                             # p=1.000, r=0.533, 0+15, 3grams, 2016-08-23
aufstiegen; Aufstiegen; 1                           # p=1.000, r=0.381, 15+6, 3grams, 2016-08-23
ausbeute; Ausbeute; 1                               # p=1.000, r=0.907, 0+54, 3grams, 2016-08-23
ausdrücke; Ausdrücke; 1                             # p=1.000, r=0.865, 2+331, 3grams, 2016-08-23
ausdrucke; Ausdrucke; 1                             # p=1.000, r=1.000, 0+3, 3grams, 2016-08-23
ausfuhr; Ausfuhr; 1                                 # p=1.000, r=0.955, 1+43, 3grams, 2016-08-23
ausfuhren; Ausfuhren; 1                             # p=1.000, r=0.737, 2+17, 3grams, 2016-08-23
aushänge; Aushänge; 1                               # p=1.000, r=0.667, 0+3, 3grams, 2016-08-23
auslagen; Auslagen; 1                               # p=1.000, r=0.933, 0+15, 3grams, 2016-08-23
ausleihe; Ausleihe; 1                               # p=1.000, r=1.000, 0+13, 3grams, 2016-08-23
ausleihen; Ausleihen; 100                           # p=1.000, r=0.582, 65+14, 3grams, 2016-08-23
auslese; Auslese; 1                                 # p=1.000, r=0.891, 0+55, 3grams, 2016-08-23
ausrede; Ausrede; 1                                 # p=1.000, r=0.900, 1+39, 3grams, 2016-08-23
ausreden; Ausreden; 1                               # p=1.000, r=0.815, 14+13, 3grams, 2016-08-23
ausreise; Ausreise; 100                             # p=1.000, r=0.829, 0+76, 3grams, 2016-08-23
ausreisen; Ausreisen; 1                             # p=1.000, r=0.778, 24+3, 3grams, 2016-08-23
ausrufe; Ausrufe; 10                                # p=1.000, r=0.111, 0+9, 3grams, 2016-08-23
ausschnitt; Ausschnitt; 10                          # p=1.000, r=0.780, 0+91, 3grams, 2016-08-23
ausschnitte; Ausschnitte; 1                         # p=1.000, r=0.684, 0+76, 3grams, 2016-08-23
ausschnitten; Ausschnitten; 1                       # p=1.000, r=0.885, 0+26, 3grams, 2016-08-23
aussprachen; Aussprachen; 1                         # p=1.000, r=0.923, 11+15, 3grams, 2016-08-23
austritt; Austritt; 1                               # p=1.000, r=0.938, 28+215, 3grams, 2016-08-23
ausweise; Ausweise; 1                               # p=1.000, r=0.688, 0+16, 3grams, 2016-08-23
automobilen; Automobilen; 1                         # p=1.000, r=0.945, 2+53, 3grams, 2016-08-23
backbord; Backbord; 1                               # p=1.000, r=0.440, 2+23, 3grams, 2016-08-23
banden; Banden; 10000                               # p=1.000, r=0.250, 20+76, 3grams, 2016-08-23
bänden; Bänden; 10000                               # p=1.000, r=0.725, 0+498, 3grams, 2016-08-23
banden; Banden; 1000                                # p=1.000, r=0.323, 20+76, 3grams, 2016-08-23
bänden; Bänden; 1000                                # p=1.000, r=0.799, 0+498, 3grams, 2016-08-23
banden; Banden; 100                                 # p=1.000, r=0.438, 20+76, 3grams, 2016-08-23
bänden; Bänden; 100                                 # p=1.000, r=0.845, 0+498, 3grams, 2016-08-23
banden; Banden; 10                                  # p=1.000, r=0.531, 20+76, 3grams, 2016-08-23
bäumen; Bäumen; 10                                  # p=1.000, r=0.900, 1+441, 3grams, 2016-08-23
bedenken; Bedenken; 1                               # p=1.000, r=0.907, 72+176, 3grams, 2016-08-23
befehle; Befehle; 10                                # p=1.000, r=0.676, 7+333, 3grams, 2016-08-23
befehlen; Befehlen; 10                              # p=1.000, r=0.545, 25+87, 3grams, 2016-08-23
beichte; Beichte; 10                                # p=1.000, r=0.758, 2+126, 3grams, 2016-08-23
beichten; Beichten; 1                               # p=1.000, r=0.636, 9+2, 3grams, 2016-08-23
beigaben; Beigaben; 10                              # p=1.000, r=0.629, 0+35, 3grams, 2016-08-23
beigesellen; Beigesellen; 1                         # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23
beilagen; Beilagen; 10                              # p=1.000, r=0.524, 1+20, 3grams, 2016-08-23
beistand; Beistand; 10                              # p=1.000, r=0.812, 3+66, 3grams, 2016-08-23
beitritt; Beitritt; 1                               # p=1.000, r=0.821, 2+384, 3grams, 2016-08-23
belange; Belange; 10                                # p=1.000, r=0.845, 0+161, 3grams, 2016-08-23
belangen; Belangen; 10                              # p=1.000, r=0.759, 5+53, 3grams, 2016-08-23
berufe; Berufe; 1                                   # p=1.000, r=0.877, 3+208, 3grams, 2016-08-23
bescheide; Bescheide; 10                            # p=1.000, r=0.333, 0+6, 3grams, 2016-08-23
bestände; Bestände; 1                               # p=1.000, r=0.853, 0+312, 3grams, 2016-08-23
betriebe; Betriebe; 1                               # p=1.000, r=0.898, 1+746, 3grams, 2016-08-23
beule; Beule; 10                                    # p=1.000, r=0.455, 0+11, 3grams, 2016-08-23
beulen; Beulen; 1                                   # p=1.000, r=0.667, 0+3, 3grams, 2016-08-23
beute; Beute; 10                                    # p=1.000, r=0.803, 0+432, 3grams, 2016-08-23
binde; Binde; 10                                    # p=1.000, r=0.235, 6+45, 3grams, 2016-08-23
binokular; Binokular; 1                             # p=1.000, r=1.000, 2+0, 3grams, 2016-08-23
binokulare; Binokulare; 1                           # p=1.000, r=0.250, 2+2, 3grams, 2016-08-23
binokularen; Binokularen; 100                       # p=1.000, r=0.250, 8+0, 3grams, 2016-08-23
blase; Blase; 10                                    # p=1.000, r=0.656, 2+88, 3grams, 2016-08-23
blättern; Blättern; 10                              # p=1.000, r=0.751, 2+332, 3grams, 2016-08-23
blende; Blende; 10                                  # p=1.000, r=0.667, 0+105, 3grams, 2016-08-23
blicke; Blicke; 1                                   # p=1.000, r=0.846, 2+50, 3grams, 2016-08-23
bohr; Bohr; 1                                       # p=1.000, r=0.687, 2+97, 3grams, 2016-08-23
braten; Braten; 1                                   # p=1.000, r=0.760, 17+58, 3grams, 2016-08-23
brauch; Brauch; 1                                   # p=1.000, r=0.887, 19+281, 3grams, 2016-08-23
bremse; Bremse; 10                                  # p=1.000, r=0.570, 1+113, 3grams, 2016-08-23
brettern; Brettern; 10                              # p=1.000, r=0.500, 0+26, 3grams, 2016-08-23
brocken; Brocken; 10                                # p=1.000, r=0.767, 0+86, 3grams, 2016-08-23
brüste; Brüste; 10                                  # p=1.000, r=0.824, 0+51, 3grams, 2016-08-23
brüsten; Brüsten; 1                                 # p=1.000, r=0.941, 0+17, 3grams, 2016-08-23
buche; Buche; 100                                   # p=1.000, r=0.550, 0+140, 3grams, 2016-08-23
buchen; Buchen; 100                                 # p=1.000, r=0.360, 19+153, 3grams, 2016-08-23
bürde; Bürde; 1                                     # p=1.000, r=0.853, 0+34, 3grams, 2016-08-23
bürden; Bürden; 1                                   # p=1.000, r=0.400, 1+4, 3grams, 2016-08-23
bürgern; Bürgern; 100                               # p=1.000, r=0.777, 1+479, 3grams, 2016-08-23
burleske; Burleske; 1                               # p=1.000, r=0.545, 4+7, 3grams, 2016-08-23
burlesken; Burlesken; 1                             # p=1.000, r=0.667, 1+2, 3grams, 2016-08-23
bürste; Bürste; 10                                  # p=1.000, r=0.842, 1+18, 3grams, 2016-08-23
bürsten; Bürsten; 1                                 # p=1.000, r=0.667, 5+16, 3grams, 2016-08-23
dämpfe; Dämpfe; 1                                   # p=1.000, r=0.765, 0+51, 3grams, 2016-08-23
deichseln; Deichseln; 1                             # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
delinquenten; Delinquenten; 1                       # p=1.000, r=0.900, 0+10, 3grams, 2016-08-23
dichten; Dichten; 100                               # p=1.000, r=0.633, 268+51, 3grams, 2016-08-23
differential; Differential; 1                       # p=1.000, r=0.392, 5+74, 3grams, 2016-08-23
direktive; Direktive; 10                            # p=1.000, r=0.640, 7+18, 3grams, 2016-08-23
direktiven; Direktiven; 1                           # p=1.000, r=0.714, 3+11, 3grams, 2016-08-23
drucke; Drucke; 10                                  # p=1.000, r=0.598, 2+100, 3grams, 2016-08-23
duftes; Duftes; 10                                  # p=1.000, r=0.286, 0+7, 3grams, 2016-08-23
durchfahrt; Durchfahrt; 100                         # p=1.000, r=0.772, 0+79, 3grams, 2016-08-23
durchreise; Durchreise; 100                         # p=1.000, r=0.875, 0+24, 3grams, 2016-08-23
durchsage; Durchsage; 10                            # p=1.000, r=0.250, 0+8, 3grams, 2016-08-23
durchsagen; Durchsagen; 1                           # p=1.000, r=0.333, 0+6, 3grams, 2016-08-23
durchschnitte; Durchschnitte; 1                     # p=1.000, r=0.909, 0+11, 3grams, 2016-08-23
dusche; Dusche; 100                                 # p=1.000, r=0.840, 15+60, 3grams, 2016-08-23
duschen; Duschen; 1                                 # p=1.000, r=0.684, 20+18, 3grams, 2016-08-23
düsen; Düsen; 1                                     # p=1.000, r=0.633, 0+30, 3grams, 2016-08-23
ebbe; Ebbe; 1                                       # p=1.000, r=0.870, 1+68, 3grams, 2016-08-23
egomanen; Egomanen; 1                               # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
eiche; Eiche; 10                                    # p=1.000, r=0.557, 0+237, 3grams, 2016-08-23
eiern; Eiern; 10                                    # p=1.000, r=0.786, 1+167, 3grams, 2016-08-23
eile; Eile; 1                                       # p=1.000, r=0.896, 2+113, 3grams, 2016-08-23
einband; Einband; 10                                # p=1.000, r=0.700, 4+46, 3grams, 2016-08-23
einfahrt; Einfahrt; 100                             # p=1.000, r=0.872, 0+86, 3grams, 2016-08-23
eingaben; Eingaben; 10                              # p=1.000, r=0.706, 0+51, 3grams, 2016-08-23
eingriffen; Eingriffen; 1                           # p=1.000, r=0.846, 11+67, 3grams, 2016-08-23
einreise; Einreise; 1                               # p=1.000, r=0.908, 0+87, 3grams, 2016-08-23
einreisen; Einreisen; 1                             # p=1.000, r=0.970, 27+6, 3grams, 2016-08-23
einritt; Einritt; 1                                 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
einschnitte; Einschnitte; 100                       # p=1.000, r=0.659, 0+44, 3grams, 2016-08-23
einschnitt; Einschnitt; 1                           # p=1.000, r=0.889, 2+97, 3grams, 2016-08-23
einschnitten; Einschnitten; 10                      # p=1.000, r=0.600, 0+10, 3grams, 2016-08-23
einschreiben; Einschreiben; 100                     # p=1.000, r=0.738, 7+54, 3grams, 2016-08-23
einstiege; Einstiege; 1                             # p=1.000, r=0.750, 0+8, 3grams, 2016-08-23
elend; Elend; 10                                    # p=1.000, r=0.863, 17+143, 3grams, 2016-08-23
ellipsoide; Ellipsoide; 1                           # p=1.000, r=0.300, 2+8, 3grams, 2016-08-23
ellipsoid; Ellipsoid; 1                             # p=1.000, r=0.400, 4+41, 3grams, 2016-08-23
endlagern; Endlagern; 1                             # p=1.000, r=0.333, 0+3, 3grams, 2016-08-23
erbrecht; Erbrecht; 100                             # p=1.000, r=0.726, 0+84, 3grams, 2016-08-23
erlöse; Erlöse; 10                                  # p=1.000, r=0.860, 4+39, 3grams, 2016-08-23
erlösen; Erlösen; 10                                # p=1.000, r=0.778, 14+13, 3grams, 2016-08-23
ernstes; Ernstes; 1                                 # p=1.000, r=0.939, 23+10, 3grams, 2016-08-23
fabeln; Fabeln; 10                                  # p=1.000, r=0.746, 0+59, 3grams, 2016-08-23
fächern; Fächern; 10                                # p=1.000, r=0.827, 3+136, 3grams, 2016-08-23
faden; Faden; 10                                    # p=1.000, r=0.767, 3+186, 3grams, 2016-08-23
fallen; Fallen; 1000                                # p=1.000, r=0.545, 997+107, 3grams, 2016-08-23
falte; Falte; 10                                    # p=1.000, r=0.385, 0+13, 3grams, 2016-08-23
falten; Falten; 10000                               # p=1.000, r=0.225, 17+63, 3grams, 2016-08-23
fang; Fang; 1                                       # p=1.000, r=0.582, 11+135, 3grams, 2016-08-23
feile; Feile; 1                                     # p=1.000, r=0.600, 1+9, 3grams, 2016-08-23
feilen; Feilen; 1                                   # p=1.000, r=0.615, 6+7, 3grams, 2016-08-23
festnahmen; Festnahmen; 10                          # p=1.000, r=0.516, 1+30, 3grams, 2016-08-23
fetten; Fetten; 10                                  # p=1.000, r=0.605, 30+51, 3grams, 2016-08-23
fiedeln; Fiedeln; 1                                 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
fingern; Fingern; 1                                 # p=1.000, r=0.985, 0+131, 3grams, 2016-08-23
fischen; Fischen; 100                               # p=1.000, r=0.663, 37+254, 3grams, 2016-08-23
flamme; Flamme; 10                                  # p=1.000, r=0.839, 5+188, 3grams, 2016-08-23
flaute; Flaute; 1000                                # p=1.000, r=0.278, 4+14, 3grams, 2016-08-23
fliege; Fliege; 1                                   # p=1.000, r=0.829, 21+90, 3grams, 2016-08-23
fliese; Fliese; 1                                   # p=1.000, r=1.000, 0+3, 3grams, 2016-08-23
fliesen; Fliesen; 10                                # p=1.000, r=0.425, 0+40, 3grams, 2016-08-23
flöße; Flöße; 1                                     # p=1.000, r=0.611, 1+17, 3grams, 2016-08-23
flotten; Flotten; 1                                 # p=1.000, r=0.811, 4+70, 3grams, 2016-08-23
fluchten; Fluchten; 1                               # p=1.000, r=0.333, 2+7, 3grams, 2016-08-23
fortschritte; Fortschritte; 1                       # p=1.000, r=0.894, 0+282, 3grams, 2016-08-23
fortschritten; Fortschritten; 1                     # p=1.000, r=0.853, 2+32, 3grams, 2016-08-23
fransen; Fransen; 1                                 # p=1.000, r=1.000, 0+18, 3grams, 2016-08-23
freigaben; Freigaben; 1                             # p=1.000, r=0.556, 2+7, 3grams, 2016-08-23
freiräume; Freiräume; 1                             # p=1.000, r=0.815, 0+27, 3grams, 2016-08-23
freitagnachmittags; Freitagnachmittags; 1           # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23
friede; Friede; 1                                   # p=1.000, r=0.847, 0+320, 3grams, 2016-08-23
frühbarock; Frühbarock; 1                           # p=1.000, r=0.848, 0+33, 3grams, 2016-08-23
fugen; Fugen; 10                                    # p=1.000, r=0.639, 0+83, 3grams, 2016-08-23
fungizide; Fungizide; 100                           # p=1.000, r=0.486, 5+30, 3grams, 2016-08-23
fungiziden; Fungiziden; 1                           # p=1.000, r=0.417, 2+10, 3grams, 2016-08-23
fungizid; Fungizid; 1                               # p=1.000, r=0.389, 3+15, 3grams, 2016-08-23
gärtnern; Gärtnern; 10                              # p=1.000, r=0.519, 0+27, 3grams, 2016-08-23
gebrechen; Gebrechen; 1                             # p=1.000, r=0.950, 0+20, 3grams, 2016-08-23
gefreiten; Gefreiten; 1                             # p=1.000, r=1.000, 0+4, 3grams, 2016-08-23
geige; Geige; 100                                   # p=1.000, r=0.615, 0+130, 3grams, 2016-08-23
geigen; Geigen; 1                                   # p=1.000, r=0.583, 4+32, 3grams, 2016-08-23
gesetzestreue; Gesetzestreue; 1                     # p=1.000, r=0.714, 3+4, 3grams, 2016-08-23
gewinne; Gewinne; 10                                # p=1.000, r=0.798, 18+170, 3grams, 2016-08-23
gewittern; Gewittern; 1                             # p=1.000, r=0.974, 0+39, 3grams, 2016-08-23
gläubiger; Gläubiger; 10                            # p=1.000, r=0.879, 18+164, 3grams, 2016-08-23
gondeln; Gondeln; 10                                # p=1.000, r=0.526, 0+19, 3grams, 2016-08-23
gram; Gram; 1000                                    # p=1.000, r=0.135, 11+41, 3grams, 2016-08-23
grätsche; Grätsche; 1                               # p=1.000, r=0.500, 0+4, 3grams, 2016-08-23
greise; Greise; 1                                   # p=1.000, r=0.708, 9+15, 3grams, 2016-08-23
gros; Gros; 10                                      # p=1.000, r=0.639, 4+68, 3grams, 2016-08-23
großtaten; Großtaten; 100                           # p=1.000, r=0.400, 0+5, 3grams, 2016-08-23
gülden; Gülden; 1                                   # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23
gurken; Gurken; 100                                 # p=1.000, r=0.533, 0+45, 3grams, 2016-08-23
gurte; Gurte; 10                                    # p=1.000, r=0.385, 1+12, 3grams, 2016-08-23
gurten; Gurten; 1                                   # p=1.000, r=0.500, 1+11, 3grams, 2016-08-23
guthaben; Guthaben; 10                              # p=1.000, r=0.826, 0+46, 3grams, 2016-08-23
haaren; Haaren; 10                                  # p=1.000, r=0.816, 0+207, 3grams, 2016-08-23
hacke; Hacke; 10                                    # p=1.000, r=0.750, 4+40, 3grams, 2016-08-23
hacken; Hacken; 100                                 # p=1.000, r=0.516, 12+19, 3grams, 2016-08-23
hack; Hack; 10                                      # p=1.000, r=0.135, 5+47, 3grams, 2016-08-23
haken; Haken; 10                                    # p=1.000, r=0.786, 1+139, 3grams, 2016-08-23
hallen; Hallen; 1                                   # p=1.000, r=0.510, 8+194, 3grams, 2016-08-23
hamstern; Hamstern; 1                               # p=1.000, r=0.429, 2+5, 3grams, 2016-08-23
handarbeiten; Handarbeiten; 1                       # p=1.000, r=0.909, 0+11, 3grams, 2016-08-23
härten; Härten; 100                                 # p=1.000, r=0.538, 8+31, 3grams, 2016-08-23
harze; Harze; 10                                    # p=1.000, r=0.553, 0+47, 3grams, 2016-08-23
harzen; Harzen; 10                                  # p=1.000, r=0.478, 0+23, 3grams, 2016-08-23
hautfarben; Hautfarben; 10                          # p=1.000, r=0.444, 1+8, 3grams, 2016-08-23
hechte; Hechte; 10                                  # p=1.000, r=0.714, 0+21, 3grams, 2016-08-23
hecke; Hecke; 10                                    # p=1.000, r=0.756, 0+45, 3grams, 2016-08-23
hecken; Hecken; 10                                  # p=1.000, r=0.659, 0+91, 3grams, 2016-08-23
hefte; Hefte; 1                                     # p=1.000, r=0.683, 3+196, 3grams, 2016-08-23
heimfahrt; Heimfahrt; 1                             # p=1.000, r=1.000, 0+22, 3grams, 2016-08-23
herfahrt; Herfahrt; 1                               # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
herzöge; Herzöge; 100                               # p=1.000, r=0.733, 0+378, 3grams, 2016-08-23
heurigen; Heurigen; 1                               # p=1.000, r=0.462, 2+11, 3grams, 2016-08-23
hiebe; Hiebe; 1                                     # p=1.000, r=0.889, 0+18, 3grams, 2016-08-23
hieben; Hieben; 1                                   # p=1.000, r=0.556, 0+9, 3grams, 2016-08-23
hieb; Hieb; 1                                       # p=1.000, r=0.568, 6+38, 3grams, 2016-08-23
hinfahrt; Hinfahrt; 1                               # p=1.000, r=0.833, 0+6, 3grams, 2016-08-23
hippe; Hippe; 10                                    # p=1.000, r=0.429, 0+7, 3grams, 2016-08-23
hochbarock; Hochbarock; 10                          # p=1.000, r=0.700, 0+20, 3grams, 2016-08-23
höhlen; Höhlen; 10                                  # p=1.000, r=0.676, 1+339, 3grams, 2016-08-23
hülle; Hülle; 10                                    # p=1.000, r=0.660, 1+234, 3grams, 2016-08-23
humanoide; Humanoide; 1                             # p=1.000, r=0.417, 8+4, 3grams, 2016-08-23
humanoiden; Humanoiden; 1                           # p=1.000, r=0.167, 9+3, 3grams, 2016-08-23
hungers; Hungers; 1000                              # p=1.000, r=0.688, 2+14, 3grams, 2016-08-23
hupe; Hupe; 10                                      # p=1.000, r=0.333, 0+9, 3grams, 2016-08-23
hüte; Hüte; 1                                       # p=1.000, r=0.507, 8+65, 3grams, 2016-08-23
hüten; Hüten; 10000                                 # p=1.000, r=0.404, 40+17, 3grams, 2016-08-23
igeln; Igeln; 1                                     # p=1.000, r=0.875, 0+8, 3grams, 2016-08-23
illustrierten; Illustrierten; 1                     # p=1.000, r=0.707, 23+35, 3grams, 2016-08-23
imperfekt; Imperfekt; 10                            # p=1.000, r=0.780, 0+50, 3grams, 2016-08-23
ineinanderstecken; Ineinanderstecken; 1             # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
initiale; Initiale; 1                               # p=1.000, r=0.556, 6+3, 3grams, 2016-08-23
initialen; Initialen; 1                             # p=1.000, r=0.761, 6+82, 3grams, 2016-08-23
kacke; Kacke; 1000                                  # p=1.000, r=0.200, 1+4, 3grams, 2016-08-23
kämme; Kämme; 10                                    # p=1.000, r=0.542, 5+19, 3grams, 2016-08-23
kante; Kante; 10                                    # p=1.000, r=0.807, 0+176, 3grams, 2016-08-23
kapern; Kapern; 10                                  # p=1.000, r=0.350, 9+11, 3grams, 2016-08-23
kapital; Kapital; 1                                 # p=1.000, r=0.919, 1+405, 3grams, 2016-08-23
kappe; Kappe; 10                                    # p=1.000, r=0.656, 0+64, 3grams, 2016-08-23
kappen; Kappen; 1                                   # p=1.000, r=0.708, 1+23, 3grams, 2016-08-23
karre; Karre; 1                                     # p=1.000, r=1.000, 0+5, 3grams, 2016-08-23
kegeln; Kegeln; 10                                  # p=1.000, r=0.548, 1+30, 3grams, 2016-08-23
kehlen; Kehlen; 10                                  # p=1.000, r=0.455, 0+11, 3grams, 2016-08-23
kellern; Kellern; 1                                 # p=1.000, r=0.926, 0+27, 3grams, 2016-08-23
kesseln; Kesseln; 1000                              # p=1.000, r=0.294, 2+15, 3grams, 2016-08-23
keule; Keule; 1                                     # p=1.000, r=0.729, 0+48, 3grams, 2016-08-23
keulen; Keulen; 10                                  # p=1.000, r=0.500, 2+22, 3grams, 2016-08-23
kippe; Kippe; 1                                     # p=1.000, r=1.000, 0+6, 3grams, 2016-08-23
klammer; Klammer; 10                                # p=1.000, r=0.810, 1+83, 3grams, 2016-08-23
klänge; Klänge; 10                                  # p=1.000, r=0.542, 1+119, 3grams, 2016-08-23
klappe; Klappe; 10                                  # p=1.000, r=0.842, 0+76, 3grams, 2016-08-23
klappen; Klappen; 10000                             # p=1.000, r=0.354, 14+82, 3grams, 2016-08-23
klatsch; Klatsch; 10                                # p=1.000, r=0.381, 0+21, 3grams, 2016-08-23
klaue; Klaue; 1                                     # p=1.000, r=0.667, 0+18, 3grams, 2016-08-23
klauen; Klauen; 1000                                # p=1.000, r=0.407, 12+47, 3grams, 2016-08-23
klemme; Klemme; 1                                   # p=1.000, r=0.960, 0+25, 3grams, 2016-08-23
klemmen; Klemmen; 1                                 # p=1.000, r=0.632, 7+12, 3grams, 2016-08-23
klinge; Klinge; 1                                   # p=1.000, r=0.769, 6+210, 3grams, 2016-08-23
klingel; Klingel; 1                                 # p=1.000, r=0.850, 0+20, 3grams, 2016-08-23
klingeln; Klingeln; 1                               # p=1.000, r=0.667, 11+16, 3grams, 2016-08-23
klinke; Klinke; 1                                   # p=1.000, r=1.000, 0+11, 3grams, 2016-08-23
klumpen; Klumpen; 1                                 # p=1.000, r=0.640, 1+24, 3grams, 2016-08-23
knappen; Knappen; 1000                              # p=1.000, r=0.556, 106+27, 3grams, 2016-08-23
knöpfe; Knöpfe; 10                                  # p=1.000, r=0.578, 0+45, 3grams, 2016-08-23
knöpfen; Knöpfen; 10                                # p=1.000, r=0.524, 0+21, 3grams, 2016-08-23
knospen; Knospen; 10                                # p=1.000, r=0.679, 2+79, 3grams, 2016-08-23
kommode; Kommode; 1                                 # p=1.000, r=0.833, 0+12, 3grams, 2016-08-23
kommoden; Kommoden; 1                               # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
kommune; Kommune; 100                               # p=1.000, r=0.668, 0+331, 3grams, 2016-08-23
kommunen; Kommunen; 100                             # p=1.000, r=0.716, 2+385, 3grams, 2016-08-23
komparativ; Komparativ; 1                           # p=1.000, r=0.643, 1+13, 3grams, 2016-08-23
konditionale; Konditionale; 1                       # p=1.000, r=1.000, 2+0, 3grams, 2016-08-23
konditional; Konditional; 1                         # p=1.000, r=0.217, 2+21, 3grams, 2016-08-23
konjunktiv; Konjunktiv; 1                           # p=1.000, r=0.829, 1+75, 3grams, 2016-08-23
konstante; Konstante; 10000                         # p=1.000, r=0.225, 160+263, 3grams, 2016-08-23
köpfe; Köpfe; 100                                   # p=1.000, r=0.674, 1+220, 3grams, 2016-08-23
köpfen; Köpfen; 100                                 # p=1.000, r=0.713, 3+84, 3grams, 2016-08-23
kotze; Kotze; 1                                     # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23
krähe; Krähe; 10                                    # p=1.000, r=0.629, 1+34, 3grams, 2016-08-23
krähen; Krähen; 1                                   # p=1.000, r=0.745, 11+40, 3grams, 2016-08-23
kralle; Kralle; 10                                  # p=1.000, r=0.538, 0+26, 3grams, 2016-08-23
krallen; Krallen; 10                                # p=1.000, r=0.742, 2+130, 3grams, 2016-08-23
krebse; Krebse; 1                                   # p=1.000, r=0.820, 0+50, 3grams, 2016-08-23
krebsen; Krebsen; 1                                 # p=1.000, r=1.000, 0+34, 3grams, 2016-08-23
kreide; Kreide; 100                                 # p=1.000, r=0.630, 0+173, 3grams, 2016-08-23
kreuze; Kreuze; 1000                                # p=1.000, r=0.475, 2+99, 3grams, 2016-08-23
kreuz; Kreuz; 10                                    # p=1.000, r=0.773, 11+1000, 3grams, 2016-08-23
kringeln; Kringeln; 1                               # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
kristallen; Kristallen; 10                          # p=1.000, r=0.717, 0+92, 3grams, 2016-08-23
kugeln; Kugeln; 10                                  # p=1.000, r=0.714, 2+236, 3grams, 2016-08-23
kuppeln; Kuppeln; 10                                # p=1.000, r=0.567, 3+64, 3grams, 2016-08-23
kurve; Kurve; 1                                     # p=1.000, r=0.684, 3+370, 3grams, 2016-08-23
küsse; Küsse; 1                                     # p=1.000, r=0.532, 13+34, 3grams, 2016-08-23
küssen; Küssen; 100                                 # p=1.000, r=0.598, 86+26, 3grams, 2016-08-23
kutschen; Kutschen; 10                              # p=1.000, r=0.491, 0+55, 3grams, 2016-08-23
lappen; Lappen; 10                                  # p=1.000, r=0.623, 0+69, 3grams, 2016-08-23
lasern; Lasern; 10                                  # p=1.000, r=0.313, 0+32, 3grams, 2016-08-23
lauf; Lauf; 10                                      # p=1.000, r=0.699, 15+816, 3grams, 2016-08-23
leck; Leck; 1                                       # p=1.000, r=0.548, 2+40, 3grams, 2016-08-23
lehne; Lehne; 10000                                 # p=1.000, r=0.679, 15+13, 3grams, 2016-08-23
leinen; Leinen; 100                                 # p=1.000, r=0.510, 0+145, 3grams, 2016-08-23
leiste; Leiste; 1                                   # p=1.000, r=0.735, 10+24, 3grams, 2016-08-23
leuchte; Leuchte; 1                                 # p=1.000, r=0.765, 1+16, 3grams, 2016-08-23
lichter; Lichter; 1                                 # p=1.000, r=0.787, 7+101, 3grams, 2016-08-23
liege; Liege; 100                                   # p=1.000, r=0.566, 101+12, 3grams, 2016-08-23
lingua; Lingua; 10000                               # p=1.000, r=0.198, 42+39, 3grams, 2016-08-23
linsen; Linsen; 10                                  # p=1.000, r=0.642, 2+202, 3grams, 2016-08-23
löchern; Löchern; 10                                # p=1.000, r=0.763, 0+59, 3grams, 2016-08-23
locken; Locken; 100                                 # p=1.000, r=0.480, 86+16, 3grams, 2016-08-23
logo; Logo; 1                                       # p=1.000, r=0.652, 3+397, 3grams, 2016-08-23
lokal; Lokal; 100                                   # p=1.000, r=0.348, 342+103, 3grams, 2016-08-23
luden; Luden; 1                                     # p=1.000, r=0.767, 26+4, 3grams, 2016-08-23
lüfte; Lüfte; 10                                    # p=1.000, r=0.647, 3+31, 3grams, 2016-08-23
lügen; Lügen; 10000                                 # p=1.000, r=0.256, 108+146, 3grams, 2016-08-23
lumpen; Lumpen; 1                                   # p=1.000, r=0.731, 3+23, 3grams, 2016-08-23
manifeste; Manifeste; 1                             # p=1.000, r=0.500, 5+23, 3grams, 2016-08-23
manifestes; Manifestes; 1                           # p=1.000, r=0.867, 3+12, 3grams, 2016-08-23
maniküre; Maniküre; 1                               # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
marinen; Marinen; 100                               # p=1.000, r=0.326, 54+41, 3grams, 2016-08-23
markern; Markern; 10                                # p=1.000, r=0.167, 0+6, 3grams, 2016-08-23
maßschneidern; Maßschneidern; 1                     # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23
matte; Matte; 1                                     # p=1.000, r=0.583, 7+29, 3grams, 2016-08-23
matten; Matten; 1                                   # p=1.000, r=0.712, 6+53, 3grams, 2016-08-23
mitschnitte; Mitschnitte; 1000                      # p=1.000, r=0.143, 0+35, 3grams, 2016-08-23
mitschnitten; Mitschnitten; 1                       # p=1.000, r=0.800, 0+5, 3grams, 2016-08-23
mitschnitt; Mitschnitt; 10                          # p=1.000, r=0.338, 0+74, 3grams, 2016-08-23
mittags; Mittags; 1000                              # p=1.000, r=0.161, 66+21, 3grams, 2016-08-23
morde; Morde; 10000                                 # p=1.000, r=0.442, 2+136, 3grams, 2016-08-23
morden; Morden; 10                                  # p=1.000, r=0.662, 8+63, 3grams, 2016-08-23
mühen; Mühen; 1                                     # p=1.000, r=0.914, 0+35, 3grams, 2016-08-23
munde; Munde; 100                                   # p=1.000, r=0.795, 1+38, 3grams, 2016-08-23
münze; Münze; 100                                   # p=1.000, r=0.569, 1+363, 3grams, 2016-08-23
nachbeben; Nachbeben; 10                            # p=1.000, r=0.333, 0+9, 3grams, 2016-08-23
nachdrucke; Nachdrucke; 100                         # p=1.000, r=0.596, 0+57, 3grams, 2016-08-23
nachfragen; Nachfragen; 1                           # p=1.000, r=0.677, 13+18, 3grams, 2016-08-23
nachklänge; Nachklänge; 1                           # p=1.000, r=1.000, 0+3, 3grams, 2016-08-23
nachkomme; Nachkomme; 10                            # p=1.000, r=0.761, 0+67, 3grams, 2016-08-23
nachlese; Nachlese; 1                               # p=1.000, r=0.533, 0+15, 3grams, 2016-08-23
nachlesen; Nachlesen; 1                             # p=1.000, r=0.938, 14+2, 3grams, 2016-08-23
nachrede; Nachrede; 1                               # p=1.000, r=0.875, 0+16, 3grams, 2016-08-23
nachreden; Nachreden; 1                             # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23
nachrufe; Nachrufe; 1                               # p=1.000, r=0.310, 0+29, 3grams, 2016-08-23
nachweise; Nachweise; 10                            # p=1.000, r=0.748, 0+135, 3grams, 2016-08-23
nachwuchs; Nachwuchs; 100                           # p=1.000, r=0.582, 1+181, 3grams, 2016-08-23
näherbringen; Näherbringen; 1                       # p=1.000, r=1.000, 4+0, 3grams, 2016-08-23
nähte; Nähte; 10                                    # p=1.000, r=0.714, 12+16, 3grams, 2016-08-23
nähten; Nähten; 1                                   # p=1.000, r=0.727, 3+8, 3grams, 2016-08-23
naht; Naht; 1                                       # p=1.000, r=0.702, 22+25, 3grams, 2016-08-23
narren; Narren; 10                                  # p=1.000, r=0.670, 2+110, 3grams, 2016-08-23
naturfarben; Naturfarben; 100                       # p=1.000, r=0.143, 0+7, 3grams, 2016-08-23
notfalls; Notfalls; 10                              # p=1.000, r=0.672, 55+9, 3grams, 2016-08-23
offensiven; Offensiven; 10                          # p=1.000, r=0.692, 23+16, 3grams, 2016-08-23
ohrfeigen; Ohrfeigen; 1                             # p=1.000, r=0.750, 4+4, 3grams, 2016-08-23
ohrfeige; Ohrfeige; 1                               # p=1.000, r=1.000, 0+30, 3grams, 2016-08-23
oliven; Oliven; 10                                  # p=1.000, r=0.640, 0+75, 3grams, 2016-08-23
olive; Olive; 1                                     # p=1.000, r=0.417, 1+47, 3grams, 2016-08-23
oliver; Oliver; 100                                 # p=1.000, r=0.386, 1+901, 3grams, 2016-08-23
orakeln; Orakeln; 1                                 # p=1.000, r=0.875, 0+8, 3grams, 2016-08-23
orgeln; Orgeln; 10                                  # p=1.000, r=0.479, 0+119, 3grams, 2016-08-23
pappen; Pappen; 1                                   # p=1.000, r=1.000, 0+5, 3grams, 2016-08-23
pappe; Pappe; 10                                    # p=1.000, r=0.793, 0+82, 3grams, 2016-08-23
parallele; Parallele; 1000                          # p=1.000, r=0.410, 142+53, 3grams, 2016-08-23
pauken; Pauken; 10000                               # p=1.000, r=0.481, 5+47, 3grams, 2016-08-23
pauke; Pauke; 1                                     # p=1.000, r=0.875, 0+16, 3grams, 2016-08-23
pauschalen; Pauschalen; 1                           # p=1.000, r=0.682, 17+5, 3grams, 2016-08-23
pauschale; Pauschale; 1                             # p=1.000, r=0.826, 12+11, 3grams, 2016-08-23
perlen; Perlen; 10                                  # p=1.000, r=0.558, 3+101, 3grams, 2016-08-23
perle; Perle; 10                                    # p=1.000, r=0.667, 0+84, 3grams, 2016-08-23
pfeife; Pfeife; 10                                  # p=1.000, r=0.589, 10+80, 3grams, 2016-08-23
pfiffe; Pfiffe; 10                                  # p=1.000, r=0.571, 0+7, 3grams, 2016-08-23
pflanze; Pflanze; 10                                # p=1.000, r=0.880, 5+706, 3grams, 2016-08-23
pfropfen; Pfropfen; 10                              # p=1.000, r=0.615, 1+12, 3grams, 2016-08-23
pinne; Pinne; 1                                     # p=1.000, r=0.667, 0+12, 3grams, 2016-08-23
platte; Platte; 1                                   # p=1.000, r=0.725, 9+620, 3grams, 2016-08-23
pleite; Pleite; 1                                   # p=1.000, r=0.682, 22+22, 3grams, 2016-08-23
posaunen; Posaunen; 10                              # p=1.000, r=0.696, 1+45, 3grams, 2016-08-23
posaune; Posaune; 10                                # p=1.000, r=0.663, 0+98, 3grams, 2016-08-23
pressen; Pressen; 10                                # p=1.000, r=0.671, 29+56, 3grams, 2016-08-23
pritschen; Pritschen; 1                             # p=1.000, r=0.250, 0+4, 3grams, 2016-08-23
pritsche; Pritsche; 1                               # p=1.000, r=0.750, 0+4, 3grams, 2016-08-23
probe; Probe; 10                                    # p=1.000, r=0.739, 1+325, 3grams, 2016-08-23
pseudonymen; Pseudonymen; 1                         # p=1.000, r=0.883, 1+59, 3grams, 2016-08-23
pseudonyme; Pseudonyme; 1                           # p=1.000, r=0.707, 2+39, 3grams, 2016-08-23
pulten; Pulten; 1                                   # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
pulte; Pulte; 10                                    # p=1.000, r=0.625, 0+8, 3grams, 2016-08-23
puzzle; Puzzle; 10                                  # p=1.000, r=0.420, 6+44, 3grams, 2016-08-23
quartiere; Quartiere; 10                            # p=1.000, r=0.701, 1+66, 3grams, 2016-08-23
rädern; Rädern; 1000                                # p=1.000, r=0.504, 1+112, 3grams, 2016-08-23
rahmen; Rahmen; 1                                   # p=1.000, r=0.956, 7+1000, 3grams, 2016-08-23
rängen; Rängen; 10                                  # p=1.000, r=0.667, 0+27, 3grams, 2016-08-23
ränge; Ränge; 1                                     # p=1.000, r=0.855, 0+76, 3grams, 2016-08-23
rasen; Rasen; 1                                     # p=1.000, r=0.676, 9+136, 3grams, 2016-08-23
rast; Rast; 10                                      # p=1.000, r=0.441, 14+45, 3grams, 2016-08-23
ratschen; Ratschen; 1                               # p=1.000, r=0.429, 0+7, 3grams, 2016-08-23
ratsche; Ratsche; 1                                 # p=1.000, r=0.714, 0+7, 3grams, 2016-08-23
rauch; Rauch; 10                                    # p=1.000, r=0.642, 0+399, 3grams, 2016-08-23
räumen; Räumen; 1                                   # p=1.000, r=0.855, 125+379, 3grams, 2016-08-23
reiben; Reiben; 1                                   # p=1.000, r=0.750, 25+27, 3grams, 2016-08-23
reibe; Reibe; 1                                     # p=1.000, r=0.500, 1+3, 3grams, 2016-08-23
reife; Reife; 10                                    # p=1.000, r=0.770, 26+191, 3grams, 2016-08-23
reihen; Reihen; 10                                  # p=1.000, r=0.801, 23+555, 3grams, 2016-08-23
reize; Reize; 10                                    # p=1.000, r=0.801, 0+136, 3grams, 2016-08-23
rentieren; Rentieren; 1                             # p=1.000, r=0.714, 6+8, 3grams, 2016-08-23
rentiere; Rentiere; 10                              # p=1.000, r=0.543, 1+45, 3grams, 2016-08-23
resonant; Resonant; 10                              # p=1.000, r=0.400, 3+2, 3grams, 2016-08-23
retrospektive; Retrospektive; 1                     # p=1.000, r=0.567, 7+127, 3grams, 2016-08-23
rezitativ; Rezitativ; 1                             # p=1.000, r=0.548, 0+31, 3grams, 2016-08-23
riegeln; Riegeln; 1                                 # p=1.000, r=1.000, 2+2, 3grams, 2016-08-23
robbe; Robbe; 10                                    # p=1.000, r=0.333, 0+24, 3grams, 2016-08-23
rückfrage; Rückfrage; 1                             # p=1.000, r=1.000, 0+12, 3grams, 2016-08-23
rüde; Rüde; 1                                       # p=1.000, r=0.222, 5+13, 3grams, 2016-08-23
rundweg; Rundweg; 10                                # p=1.000, r=0.442, 9+43, 3grams, 2016-08-23
rutschen; Rutschen; 1                               # p=1.000, r=0.632, 23+15, 3grams, 2016-08-23
rutsche; Rutsche; 1                                 # p=1.000, r=0.526, 1+18, 3grams, 2016-08-23
sachverständigen; Sachverständigen; 1               # p=1.000, r=0.750, 2+46, 3grams, 2016-08-23
sachverständiger; Sachverständiger; 1               # p=1.000, r=0.944, 0+18, 3grams, 2016-08-23
sachverständige; Sachverständige; 1                 # p=1.000, r=0.808, 5+21, 3grams, 2016-08-23
sägen; Sägen; 10000                                 # p=1.000, r=0.290, 9+22, 3grams, 2016-08-23
sägen; Sägen; 100                                   # p=1.000, r=0.452, 9+22, 3grams, 2016-08-23
säge; Säge; 10000                                   # p=1.000, r=0.324, 0+34, 3grams, 2016-08-23
sage; Sage; 10000                                   # p=1.000, r=0.601, 306+611, 3grams, 2016-08-23
säge; Säge; 1000                                    # p=1.000, r=0.412, 0+34, 3grams, 2016-08-23
säge; Säge; 100                                     # p=1.000, r=0.441, 0+34, 3grams, 2016-08-23
säge; Säge; 10                                      # p=1.000, r=0.529, 0+34, 3grams, 2016-08-23
salben; Salben; 10                                  # p=1.000, r=0.667, 6+27, 3grams, 2016-08-23
salbe; Salbe; 1                                     # p=1.000, r=0.880, 2+23, 3grams, 2016-08-23
salze; Salze; 10                                    # p=1.000, r=0.766, 1+273, 3grams, 2016-08-23
sandstrahlen; Sandstrahlen; 1                       # p=1.000, r=1.000, 0+6, 3grams, 2016-08-23
säumen; Säumen; 1                                   # p=1.000, r=0.321, 24+4, 3grams, 2016-08-23
säume; Säume; 1                                     # p=1.000, r=1.000, 0+7, 3grams, 2016-08-23
schachteln; Schachteln; 1                           # p=1.000, r=0.850, 1+19, 3grams, 2016-08-23
schächten; Schächten; 10                            # p=1.000, r=0.553, 0+38, 3grams, 2016-08-23
schal; Schal; 1                                     # p=1.000, r=0.735, 6+28, 3grams, 2016-08-23
schanzen; Schanzen; 10                              # p=1.000, r=0.639, 0+36, 3grams, 2016-08-23
schanze; Schanze; 10                                # p=1.000, r=0.427, 0+103, 3grams, 2016-08-23
schärfe; Schärfe; 1                                 # p=1.000, r=0.819, 1+104, 3grams, 2016-08-23
schätze; Schätze; 1                                 # p=1.000, r=0.780, 58+128, 3grams, 2016-08-23
schäume; Schäume; 10                                # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23
scheide; Scheide; 100                               # p=1.000, r=0.707, 3+79, 3grams, 2016-08-23
scheine; Scheine; 100                               # p=1.000, r=0.426, 17+51, 3grams, 2016-08-23
scheitern; Scheitern; 100                           # p=1.000, r=0.833, 137+312, 3grams, 2016-08-23
scheren; Scheren; 1                                 # p=1.000, r=0.549, 15+36, 3grams, 2016-08-23
scherzen; Scherzen; 1                               # p=1.000, r=0.821, 14+14, 3grams, 2016-08-23
scherze; Scherze; 1                                 # p=1.000, r=0.556, 7+47, 3grams, 2016-08-23
schiene; Schiene; 1                                 # p=1.000, r=0.684, 1+154, 3grams, 2016-08-23
schippe; Schippe; 1                                 # p=1.000, r=0.778, 0+9, 3grams, 2016-08-23
schlachtreife; Schlachtreife; 1                     # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
schlampen; Schlampen; 1                             # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
schlampe; Schlampe; 10                              # p=1.000, r=0.667, 0+12, 3grams, 2016-08-23
schlangen; Schlangen; 10                            # p=1.000, r=0.693, 2+285, 3grams, 2016-08-23
schleifen; Schleifen; 10000                         # p=1.000, r=0.295, 21+125, 3grams, 2016-08-23
schleife; Schleife; 10                              # p=1.000, r=0.565, 1+185, 3grams, 2016-08-23
schleuse; Schleuse; 10                              # p=1.000, r=0.623, 0+228, 3grams, 2016-08-23
schlingen; Schlingen; 1                             # p=1.000, r=0.737, 1+18, 3grams, 2016-08-23
schlinge; Schlinge; 1                               # p=1.000, r=0.923, 1+25, 3grams, 2016-08-23
schluck; Schluck; 10                                # p=1.000, r=0.649, 1+36, 3grams, 2016-08-23
schlüsseln; Schlüsseln; 1                           # p=1.000, r=0.667, 1+53, 3grams, 2016-08-23
schmelze; Schmelze; 1                               # p=1.000, r=0.853, 1+108, 3grams, 2016-08-23
schnallen; Schnallen; 1                             # p=1.000, r=0.500, 9+13, 3grams, 2016-08-23
schnalle; Schnalle; 1                               # p=1.000, r=0.444, 0+9, 3grams, 2016-08-23
schnauze; Schnauze; 10                              # p=1.000, r=0.739, 0+115, 3grams, 2016-08-23
schnitte; Schnitte; 10                              # p=1.000, r=0.645, 0+62, 3grams, 2016-08-23
schnupfen; Schnupfen; 1                             # p=1.000, r=0.654, 1+25, 3grams, 2016-08-23
schollen; Schollen; 10                              # p=1.000, r=0.450, 1+19, 3grams, 2016-08-23
schränke; Schränke; 1                               # p=1.000, r=0.875, 4+12, 3grams, 2016-08-23
schraube; Schraube; 10                              # p=1.000, r=0.850, 0+100, 3grams, 2016-08-23
schrei; Schrei; 10                                  # p=1.000, r=0.650, 6+117, 3grams, 2016-08-23
schritten; Schritten; 1                             # p=1.000, r=0.815, 18+220, 3grams, 2016-08-23
schritte; Schritte; 1                               # p=1.000, r=0.914, 1+443, 3grams, 2016-08-23
schuften; Schuften; 10                              # p=1.000, r=0.400, 3+2, 3grams, 2016-08-23
schuft; Schuft; 1                                   # p=1.000, r=0.800, 0+5, 3grams, 2016-08-23
schulmeistern; Schulmeistern; 1                     # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
schürzen; Schürzen; 1                               # p=1.000, r=0.700, 1+9, 3grams, 2016-08-23
schürze; Schürze; 1                                 # p=1.000, r=0.611, 0+18, 3grams, 2016-08-23
schwämmen; Schwämmen; 1                             # p=1.000, r=0.880, 1+24, 3grams, 2016-08-23
schwämme; Schwämme; 10                              # p=1.000, r=0.529, 0+34, 3grams, 2016-08-23
schwamm; Schwamm; 1                                 # p=1.000, r=0.736, 28+44, 3grams, 2016-08-23
schwänzen; Schwänzen; 1                             # p=1.000, r=0.500, 6+8, 3grams, 2016-08-23
schwärze; Schwärze; 10                              # p=1.000, r=0.375, 0+8, 3grams, 2016-08-23
schwebe; Schwebe; 1                                 # p=1.000, r=0.905, 3+18, 3grams, 2016-08-23
schwellen; Schwellen; 1000                          # p=1.000, r=0.314, 9+61, 3grams, 2016-08-23
sehnen; Sehnen; 1                                   # p=1.000, r=0.836, 12+61, 3grams, 2016-08-23
sehne; Sehne; 1                                     # p=1.000, r=0.909, 13+42, 3grams, 2016-08-23
seife; Seife; 1                                     # p=1.000, r=0.863, 0+73, 3grams, 2016-08-23
seins; Seins; 10                                    # p=1.000, r=0.844, 10+131, 3grams, 2016-08-23
siebe; Siebe; 1                                     # p=1.000, r=0.867, 0+15, 3grams, 2016-08-23
solitär; Solitär; 1                                 # p=1.000, r=0.500, 5+9, 3grams, 2016-08-23
sommers; Sommers; 10                                # p=1.000, r=0.802, 3+88, 3grams, 2016-08-23
sonnen; Sonnen; 10                                  # p=1.000, r=0.295, 7+98, 3grams, 2016-08-23
speisen; Speisen; 100                               # p=1.000, r=0.582, 32+236, 3grams, 2016-08-23
speise; Speise; 10                                  # p=1.000, r=0.536, 2+82, 3grams, 2016-08-23
spinne; Spinne; 10                                  # p=1.000, r=0.653, 0+101, 3grams, 2016-08-23
spritze; Spritze; 1                                 # p=1.000, r=0.913, 0+23, 3grams, 2016-08-23
spucke; Spucke; 10                                  # p=1.000, r=0.200, 1+4, 3grams, 2016-08-23
stände; Stände; 1                                   # p=1.000, r=0.904, 2+322, 3grams, 2016-08-23
stereotypen; Stereotypen; 1                         # p=1.000, r=0.611, 6+30, 3grams, 2016-08-23
stereotyp; Stereotyp; 1                             # p=1.000, r=0.632, 3+16, 3grams, 2016-08-23
stich; Stich; 10                                    # p=1.000, r=0.665, 1+277, 3grams, 2016-08-23
stille; Stille; 100                                 # p=1.000, r=0.481, 101+217, 3grams, 2016-08-23
stör; Stör; 1                                       # p=1.000, r=0.500, 1+41, 3grams, 2016-08-23
stoß; Stoß; 10                                      # p=1.000, r=0.660, 1+140, 3grams, 2016-08-23
strecke; Strecke; 10                                # p=1.000, r=0.844, 3+1000, 3grams, 2016-08-23
streiche; Streiche; 10                              # p=1.000, r=0.561, 6+35, 3grams, 2016-08-23
streife; Streife; 1                                 # p=1.000, r=1.000, 0+4, 3grams, 2016-08-23
streu; Streu; 1                                     # p=1.000, r=0.767, 0+30, 3grams, 2016-08-23
strichen; Strichen; 1                               # p=1.000, r=0.714, 6+29, 3grams, 2016-08-23
striche; Striche; 1                                 # p=1.000, r=0.767, 1+59, 3grams, 2016-08-23
stricke; Stricke; 1                                 # p=1.000, r=1.000, 0+11, 3grams, 2016-08-23
strolche; Strolche; 1                               # p=1.000, r=1.000, 0+5, 3grams, 2016-08-23
stunden; Stunden; 1                                 # p=1.000, r=0.911, 2+1000, 3grams, 2016-08-23
stürme; Stürme; 10                                  # p=1.000, r=0.615, 0+109, 3grams, 2016-08-23
stütze; Stütze; 1                                   # p=1.000, r=0.912, 6+85, 3grams, 2016-08-23
sühne; Sühne; 1                                     # p=1.000, r=0.807, 0+57, 3grams, 2016-08-23
summen; Summen; 10000                               # p=1.000, r=0.474, 9+128, 3grams, 2016-08-23
superior; Superior; 100                             # p=1.000, r=0.320, 65+60, 3grams, 2016-08-23
taste; Taste; 1                                     # p=1.000, r=0.608, 0+204, 3grams, 2016-08-23
tausch; Tausch; 1                                   # p=1.000, r=0.828, 0+145, 3grams, 2016-08-23
termintreue; Termintreue; 1                         # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
textil; Textil; 10                                  # p=1.000, r=0.150, 5+115, 3grams, 2016-08-23
tigern; Tigern; 1                                   # p=1.000, r=0.652, 0+23, 3grams, 2016-08-23
tipp; Tipp; 10                                      # p=1.000, r=0.462, 0+39, 3grams, 2016-08-23
tischen; Tischen; 10                                # p=1.000, r=0.735, 1+33, 3grams, 2016-08-23
topp; Topp; 1                                       # p=1.000, r=0.545, 3+8, 3grams, 2016-08-23
totem; Totem; 1                                     # p=1.000, r=0.724, 5+24, 3grams, 2016-08-23
trage; Trage; 10                                    # p=1.000, r=0.687, 79+20, 3grams, 2016-08-23
tramp; Tramp; 100                                   # p=1.000, r=0.267, 1+14, 3grams, 2016-08-23
träne; Träne; 10                                    # p=1.000, r=0.774, 0+31, 3grams, 2016-08-23
traubige; Traubige; 1                               # p=1.000, r=0.714, 7+0, 3grams, 2016-08-23
träumen; Träumen; 10                                # p=1.000, r=0.654, 69+93, 3grams, 2016-08-23
träume; Träume; 1000                                # p=1.000, r=0.539, 46+347, 3grams, 2016-08-23
trieb; Trieb; 1                                     # p=1.000, r=0.728, 191+74, 3grams, 2016-08-23
türke; Türke; 1                                     # p=1.000, r=0.813, 0+16, 3grams, 2016-08-23
türme; Türme; 10                                    # p=1.000, r=0.739, 1+356, 3grams, 2016-08-23
übergriff; Übergriff; 1                             # p=1.000, r=0.875, 12+12, 3grams, 2016-08-23
ultra; Ultra; 10                                    # p=1.000, r=0.133, 12+78, 3grams, 2016-08-23
umhänge; Umhänge; 1                                 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
umlaute; Umlaute; 100                               # p=1.000, r=0.396, 0+48, 3grams, 2016-08-23
umrissen; Umrissen; 10                              # p=1.000, r=0.833, 11+7, 3grams, 2016-08-23
umriss; Umriss; 1                                   # p=1.000, r=0.500, 5+27, 3grams, 2016-08-23
umtrieben; Umtrieben; 10                            # p=1.000, r=0.500, 0+4, 3grams, 2016-08-23
umtrieb; Umtrieb; 1                                 # p=1.000, r=1.000, 0+4, 3grams, 2016-08-23
untiefen; Untiefen; 10                              # p=1.000, r=0.571, 0+21, 3grams, 2016-08-23
untiefe; Untiefe; 1                                 # p=1.000, r=0.769, 0+13, 3grams, 2016-08-23
verdeck; Verdeck; 10                                # p=1.000, r=0.462, 0+13, 3grams, 2016-08-23
verdienst; Verdienst; 1                             # p=1.000, r=0.920, 13+125, 3grams, 2016-08-23
vereine; Vereine; 10                                # p=1.000, r=0.737, 5+797, 3grams, 2016-08-23
vergleiche; Vergleiche; 10000                       # p=1.000, r=0.186, 139+168, 3grams, 2016-08-23
vergnügen; Vergnügen; 10                            # p=1.000, r=0.873, 14+223, 3grams, 2016-08-23
verhau; Verhau; 1                                   # p=1.000, r=0.667, 0+3, 3grams, 2016-08-23
verhöre; Verhöre; 10                                # p=1.000, r=0.625, 0+16, 3grams, 2016-08-23
verlangen; Verlangen; 10                            # p=1.000, r=0.798, 278+137, 3grams, 2016-08-23
verleihe; Verleihe; 10                              # p=1.000, r=0.375, 6+2, 3grams, 2016-08-23
vermerken; Vermerken; 1                             # p=1.000, r=0.957, 19+4, 3grams, 2016-08-23
vermerke; Vermerke; 1                               # p=1.000, r=0.875, 0+8, 3grams, 2016-08-23
vertrieb; Vertrieb; 1000                            # p=1.000, r=0.582, 85+233, 3grams, 2016-08-23
verweise; Verweise; 1000                            # p=1.000, r=0.292, 9+104, 3grams, 2016-08-23
virtuosen; Virtuosen; 100                           # p=1.000, r=0.125, 9+15, 3grams, 2016-08-23
visionäre; Visionäre; 1                             # p=1.000, r=0.563, 10+6, 3grams, 2016-08-23
vögel; Vögel; 10                                    # p=1.000, r=0.771, 0+1000, 3grams, 2016-08-23
vokalen; Vokalen; 1000                              # p=1.000, r=0.553, 11+103, 3grams, 2016-08-23
vokales; Vokales; 1                                 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23
vokal; Vokal; 10                                    # p=1.000, r=0.629, 5+246, 3grams, 2016-08-23
vollmacht; Vollmacht; 1                             # p=1.000, r=0.904, 0+73, 3grams, 2016-08-23
vorarbeiten; Vorarbeiten; 1                         # p=1.000, r=0.863, 2+71, 3grams, 2016-08-23
voraussagen; Voraussagen; 1                         # p=1.000, r=0.659, 27+17, 3grams, 2016-08-23
voraussage; Voraussage; 1                           # p=1.000, r=0.765, 0+17, 3grams, 2016-08-23
vorbehalte; Vorbehalte; 1                           # p=1.000, r=0.878, 0+82, 3grams, 2016-08-23
vorgriffe; Vorgriffe; 1                             # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23
vorhersage; Vorhersage; 100                         # p=1.000, r=0.755, 0+106, 3grams, 2016-08-23
vorreden; Vorreden; 1                               # p=1.000, r=1.000, 0+7, 3grams, 2016-08-23
vorrede; Vorrede; 1                                 # p=1.000, r=0.830, 0+47, 3grams, 2016-08-23
vorsorge; Vorsorge; 1                               # p=1.000, r=0.750, 2+42, 3grams, 2016-08-23
vortrieb; Vortrieb; 10                              # p=1.000, r=0.407, 0+54, 3grams, 2016-08-23
wache; Wache; 1                                     # p=1.000, r=0.701, 11+86, 3grams, 2016-08-23
weihen; Weihen; 10                                  # p=1.000, r=0.565, 27+58, 3grams, 2016-08-23
weihe; Weihe; 1                                     # p=1.000, r=0.799, 2+182, 3grams, 2016-08-23
weile; Weile; 1                                     # p=1.000, r=1.000, 1+171, 3grams, 2016-08-23
wellenreiten; Wellenreiten; 100                     # p=1.000, r=0.176, 3+14, 3grams, 2016-08-23
wende; Wende; 1                                     # p=1.000, r=0.914, 14+740, 3grams, 2016-08-23
wendischer; Wendischer; 10                          # p=1.000, r=0.167, 3+3, 3grams, 2016-08-23
wendisches; Wendisches; 1                           # p=1.000, r=0.500, 1+1, 3grams, 2016-08-23
werktreue; Werktreue; 10                            # p=1.000, r=0.600, 0+5, 3grams, 2016-08-23
wicht; Wicht; 1                                     # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23
wienern; Wienern; 1                                 # p=1.000, r=0.667, 0+6, 3grams, 2016-08-23
wiese; Wiese; 10                                    # p=1.000, r=0.683, 0+262, 3grams, 2016-08-23
winden; Winden; 1                                   # p=1.000, r=0.714, 8+69, 3grams, 2016-08-23
winde; Winde; 10                                    # p=1.000, r=0.775, 1+252, 3grams, 2016-08-23
winkeln; Winkeln; 10                                # p=1.000, r=0.643, 1+55, 3grams, 2016-08-23
wohlergehen; Wohlergehen; 100                       # p=1.000, r=0.804, 0+46, 3grams, 2016-08-23
wunders; Wunders; 10                                # p=1.000, r=0.813, 1+15, 3grams, 2016-08-23
würfel; Würfel; 100                                 # p=1.000, r=0.638, 0+213, 3grams, 2016-08-23
würze; Würze; 10                                    # p=1.000, r=0.464, 1+27, 3grams, 2016-08-23
zäunen; Zäunen; 1                                   # p=1.000, r=1.000, 0+14, 3grams, 2016-08-23
zäune; Zäune; 10                                    # p=1.000, r=0.789, 0+19, 3grams, 2016-08-23
zechen; Zechen; 1                                   # p=1.000, r=0.786, 0+42, 3grams, 2016-08-23
zeche; Zeche; 100                                   # p=1.000, r=0.675, 0+206, 3grams, 2016-08-23
zehntel; Zehntel; 100                               # p=1.000, r=0.739, 5+87, 3grams, 2016-08-23
zelten; Zelten; 10                                  # p=1.000, r=0.647, 10+41, 3grams, 2016-08-23
zelte; Zelte; 1                                     # p=1.000, r=0.714, 0+49, 3grams, 2016-08-23
zetteln; Zetteln; 1                                 # p=1.000, r=1.000, 0+9, 3grams, 2016-08-23
zeuge; Zeuge; 10                                    # p=1.000, r=0.764, 3+192, 3grams, 2016-08-23
zier; Zier; 1                                       # p=1.000, r=0.156, 0+32, 3grams, 2016-08-23
zinken; Zinken; 10                                  # p=1.000, r=0.545, 0+44, 3grams, 2016-08-23
zinke; Zinke; 1                                     # p=1.000, r=0.706, 0+17, 3grams, 2016-08-23
zirkeln; Zirkeln; 1                                 # p=1.000, r=0.813, 0+16, 3grams, 2016-08-23
zuchtreife; Zuchtreife; 1                           # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23
zufahrt; Zufahrt; 1                                 # p=1.000, r=0.911, 0+45, 3grams, 2016-08-23
zügel; Zügel; 1                                     # p=1.000, r=0.941, 0+17, 3grams, 2016-08-23
zugriffen; Zugriffen; 10                            # p=1.000, r=0.625, 1+15, 3grams, 2016-08-23
zugriffe; Zugriffe; 100                             # p=1.000, r=0.729, 0+48, 3grams, 2016-08-23
zusagen; Zusagen; 10                                # p=1.000, r=0.791, 5+38, 3grams, 2016-08-23
zusage; Zusage; 1                                   # p=1.000, r=0.975, 0+80, 3grams, 2016-08-23
zusammenhängen; Zusammenhängen; 1                   # p=1.000, r=0.802, 75+117, 3grams, 2016-08-23
zusammenklang; Zusammenklang; 10                    # p=1.000, r=0.778, 0+9, 3grams, 2016-08-23
zutaten; Zutaten; 100                               # p=1.000, r=0.493, 0+146, 3grams, 2016-08-23
zutat; Zutat; 100                                   # p=1.000, r=0.590, 0+39, 3grams, 2016-08-23
zutun; Zutun; 1                                     # p=1.000, r=1.000, 1+32, 3grams, 2016-08-23
zweien; Zweien; 10                                  # p=1.000, r=0.800, 42+3, 3grams, 2016-08-23
zwinge; Zwinge; 1                                   # p=1.000, r=0.538, 7+6, 3grams, 2016-08-23
zwölftel; Zwölftel; 1                               # p=1.000, r=0.778, 0+9, 3grams, 2016-08-23
#Leitungsträger; Leistungsträger

## Results from GermanUmlautConfusionPairs filtered by AutomaticConfusionRuleEvaluatorFilterPremium.
## This is in candidates here as a quick test on Tatoeba revealed some false alarms - not many, but
## some simple sentences caused a false alarm, so it's not active yet.
#Abdrucken -> Abdrücken; 1000                                                      # p=0.952 r=0.119 f0.5=0.397 35+168 2020-02-14 f0.1=0.89 FA/10k=0.000 (commented due to precision < 0.99)
Abfällen -> Abfallen; 1000                                                         # p=1.000 r=0.671 f0.5=0.911 892+155 2020-02-14 f0.1=1.00 FA/10k=0.000
Abfallen -> Abfällen; 1000                                                         # p=1.000 r=0.669 f0.5=0.910 155+892 2020-02-14 f0.1=1.00 FA/10k=0.000
#Abfuhren -> Abführen; 10                                                          # p=0.980 r=0.820 f0.5=0.943 9+61 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Abläufen -> Ablaufen; 1000                                                         # p=1.000 r=0.653 f0.5=0.904 421+98 2020-02-14 f0.1=0.99 FA/10k=0.000
Ablaufen -> Abläufen; 100                                                          # p=0.993 r=0.708 f0.5=0.919 98+421 2020-02-14 f0.1=0.99 FA/10k=0.000
Abschlägen -> Abschlagen; 100                                                      # p=0.991 r=0.783 f0.5=0.941 160+143 2020-02-14 f0.1=0.99 FA/10k=0.000
Abschlagen -> Abschlägen; 10                                                       # p=0.990 r=0.625 f0.5=0.887 143+160 2020-02-14 f0.1=0.98 FA/10k=0.000
Abwässer -> Abwasser; 100000                                                       # p=0.994 r=0.327 f0.5=0.706 992+990 2020-02-14 f0.1=0.97 FA/10k=0.000
#Abwasser -> Abwässer; 100                                                         # p=0.984 r=0.615 f0.5=0.878 990+992 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Altäre -> Altare; 100                                                              # p=1.000 r=0.269 f0.5=0.648 972+119 2020-02-14 f0.1=0.97 FA/10k=0.000
#Altare -> Altäre; 10000                                                           # p=0.965 r=0.426 f0.5=0.770 119+972 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Anfällen -> Anfallen; 100                                                         # p=1.000 r=0.308 f0.5=0.690 329+13 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Anfallen -> Anfällen; 100                                                         # p=1.000 r=0.711 f0.5=0.925 13+329 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Anfänge -> Anfange; 10                                                             # p=1.000 r=0.908 f0.5=0.980 835+163 2020-02-14 f0.1=1.00 FA/10k=0.000
Anfange -> Anfänge; 100                                                            # p=0.991 r=0.771 f0.5=0.937 163+835 2020-02-14 f0.1=0.99 FA/10k=0.001
#Anfängen -> Anfangen; 10                                                          # p=1.000 r=0.483 f0.5=0.824 295+29 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Anfangen -> Anfängen; 100                                                         # p=0.976 r=0.953 f0.5=0.971 29+295 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99)
Anhänge -> Anhange; 10                                                             # p=0.996 r=0.912 f0.5=0.978 527+297 2020-02-14 f0.1=1.00 FA/10k=0.000
Anhange -> Anhänge; 10                                                             # p=0.991 r=0.647 f0.5=0.896 297+527 2020-02-14 f0.1=0.99 FA/10k=0.000
#Ankäufen -> Ankaufen; 100                                                         # p=1.000 r=0.667 f0.5=0.909 124+12 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Ankaufen -> Ankäufen; 10                                                          # p=0.968 r=0.734 f0.5=0.910 12+124 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Anlässen -> Anlassen; 100                                                          # p=1.000 r=0.726 f0.5=0.930 993+252 2020-02-14 f0.1=1.00 FA/10k=0.000
Anlassen -> Anlässen; 10000                                                        # p=0.996 r=0.772 f0.5=0.942 252+993 2020-02-14 f0.1=0.99 FA/10k=0.000
Anläufen -> Anlaufen; 10000                                                        # p=0.994 r=0.654 f0.5=0.900 463+237 2020-02-14 f0.1=0.99 FA/10k=0.000
Anlaufen -> Anläufen; 100                                                          # p=1.000 r=0.827 f0.5=0.960 237+463 2020-02-14 f0.1=1.00 FA/10k=0.000
Anschlägen -> Anschlagen; 10000                                                    # p=1.000 r=0.602 f0.5=0.883 968+246 2020-02-14 f0.1=0.99 FA/10k=0.000
Anschlagen -> Anschlägen; 1000                                                     # p=0.999 r=0.738 f0.5=0.933 246+968 2020-02-14 f0.1=1.00 FA/10k=0.000
#Aufdrücken -> Aufdrucken; 10                                                      # p=1.000 r=0.373 f0.5=0.748 28+59 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
Aufschlägen -> Aufschlagen; 1000                                                   # p=1.000 r=0.638 f0.5=0.898 174+152 2020-02-14 f0.1=0.99 FA/10k=0.000
Aufschlagen -> Aufschlägen; 100                                                    # p=1.000 r=0.557 f0.5=0.863 152+174 2020-02-14 f0.1=0.99 FA/10k=0.000
Aufträge -> Auftrage; 100                                                          # p=1.000 r=0.974 f0.5=0.995 992+887 2020-02-14 f0.1=1.00 FA/10k=0.000
Auftrage -> Aufträge; 10                                                           # p=0.992 r=0.924 f0.5=0.978 887+992 2020-02-14 f0.1=0.99 FA/10k=0.001
Aufträgen -> Auftragen; 1000                                                       # p=0.997 r=0.738 f0.5=0.931 991+397 2020-02-14 f0.1=0.99 FA/10k=0.000
Auftragen -> Aufträgen; 1000                                                       # p=0.994 r=0.696 f0.5=0.916 397+991 2020-02-14 f0.1=0.99 FA/10k=0.000
Aufzüge -> Aufzuge; 100000                                                         # p=1.000 r=0.663 f0.5=0.908 988+80 2020-02-14 f0.1=0.99 FA/10k=0.000
Aufzuge -> Aufzüge; 10                                                             # p=1.000 r=0.726 f0.5=0.930 80+988 2020-02-14 f0.1=1.00 FA/10k=0.000
Augäpfel -> Augapfel; 1000                                                         # p=1.000 r=0.508 f0.5=0.838 79+197 2020-02-14 f0.1=0.99 FA/10k=0.000
Augapfel -> Augäpfel; 100                                                          # p=1.000 r=0.443 f0.5=0.799 197+79 2020-02-14 f0.1=0.99 FA/10k=0.000
Ausdrücke -> Ausdrucke; 10                                                         # p=1.000 r=0.105 f0.5=0.369 978+105 2020-02-14 f0.1=0.92 FA/10k=0.000
#Ausdrucke -> Ausdrücke; 10000000                                                  # p=0.956 r=0.178 f0.5=0.510 105+978 2020-02-14 f0.1=0.92 FA/10k=0.003 (commented due to precision < 0.99)
Ausdrücken -> Ausdrucken; 100                                                      # p=1.000 r=0.148 f0.5=0.464 303+122 2020-02-14 f0.1=0.95 FA/10k=0.000
Ausdrucken -> Ausdrücken; 100000                                                   # p=1.000 r=0.333 f0.5=0.714 122+303 2020-02-14 f0.1=0.98 FA/10k=0.000
#Ausfallen -> Ausfällen; 10                                                        # p=1.000 r=0.684 f0.5=0.915 22+893 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Ausgelösten -> Ausgelosten; 10                                                    # p=1.000 r=0.571 f0.5=0.870 1+7 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Ausgänge -> Ausgange; 100                                                          # p=1.000 r=0.984 f0.5=0.997 973+62 2020-02-14 f0.1=1.00 FA/10k=0.000
Ausgange -> Ausgänge; 10                                                           # p=1.000 r=0.766 f0.5=0.942 62+973 2020-02-14 f0.1=1.00 FA/10k=0.000
#Auslosung -> Auslösung; 1000000                                                   # p=0.966 r=0.199 f0.5=0.545 856+992 2020-02-14 f0.1=0.93 FA/10k=0.001 (commented due to precision < 0.99)
Auswählen -> Auswahlen; 10                                                         # p=1.000 r=0.288 f0.5=0.669 81+351 2020-02-14 f0.1=0.98 FA/10k=0.000
Auswahlen -> Auswählen; 100000                                                     # p=1.000 r=0.346 f0.5=0.725 351+81 2020-02-14 f0.1=0.98 FA/10k=0.000
#Auszahlen -> Auszählen; 10000                                                     # p=1.000 r=0.221 f0.5=0.587 17+95 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Auszählung -> Auszahlung; 100000                                                  # p=0.960 r=0.197 f0.5=0.541 485+980 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99)
#Auszahlung -> Auszählung; 100                                                     # p=0.973 r=0.223 f0.5=0.581 980+485 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
Auszüge -> Auszuge; 100                                                            # p=1.000 r=0.540 f0.5=0.854 893+50 2020-02-14 f0.1=0.99 FA/10k=0.000
Auszuge -> Auszüge; 1000                                                           # p=0.997 r=0.782 f0.5=0.945 50+893 2020-02-14 f0.1=0.99 FA/10k=0.000
#Backöfen -> Backofen; 1000                                                        # p=0.988 r=0.344 f0.5=0.718 217+713 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Backofen -> Backöfen; 100                                                         # p=0.971 r=0.152 f0.5=0.467 713+217 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99)
#Beichtväter -> Beichtvater; 100                                                   # p=0.987 r=0.557 f0.5=0.855 66+923 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Beichtvater -> Beichtväter; 1000                                                   # p=1.000 r=0.152 f0.5=0.472 923+66 2020-02-14 f0.1=0.95 FA/10k=0.000
#Beitragen -> Beiträgen; 10                                                        # p=0.995 r=0.937 f0.5=0.983 5+857 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Benützte -> Benutzte; 10                                                          # p=1.000 r=0.333 f0.5=0.714 0+6 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Beschlägen -> Beschlagen; 100                                                     # p=0.980 r=0.738 f0.5=0.920 308+65 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Beschlagen -> Beschlägen; 100                                                      # p=1.000 r=0.526 f0.5=0.847 65+308 2020-02-14 f0.1=0.99 FA/10k=0.000
Bestände -> Bestande; 100                                                          # p=1.000 r=0.135 f0.5=0.438 685+52 2020-02-14 f0.1=0.94 FA/10k=0.000
Bestande -> Bestände; 1000                                                         # p=0.998 r=0.790 f0.5=0.948 52+685 2020-02-14 f0.1=1.00 FA/10k=0.000
#Beträge -> Betrage; 10                                                            # p=1.000 r=0.872 f0.5=0.971 172+39 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Betrage -> Beträge; 1000                                                          # p=1.000 r=0.698 f0.5=0.920 39+172 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Betragen -> Beträgen; 10                                                          # p=1.000 r=0.810 f0.5=0.955 35+242 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Bewähren -> Bewahren; 10000                                                       # p=1.000 r=0.451 f0.5=0.804 3+122 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Bewahrte -> Bewährte; 100                                                         # p=1.000 r=0.200 f0.5=0.556 12+50 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
#Bewahrten -> Bewährten; 10                                                        # p=1.000 r=0.889 f0.5=0.976 0+9 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Bewährung -> Bewahrung; 100                                                        # p=0.991 r=0.652 f0.5=0.897 868+965 2020-02-14 f0.1=0.99 FA/10k=0.001
Bewahrung -> Bewährung; 100000                                                     # p=0.998 r=0.502 f0.5=0.833 965+868 2020-02-14 f0.1=0.99 FA/10k=0.000
#Binnenhäfen -> Binnenhafen; 10                                                    # p=0.986 r=0.385 f0.5=0.751 143+535 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Bioladen -> Bioläden; 10                                                          # p=0.964 r=0.466 f0.5=0.794 51+58 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
Blässe -> Blasse; 100                                                              # p=1.000 r=0.325 f0.5=0.706 156+117 2020-02-14 f0.1=0.98 FA/10k=0.000
#Blocke -> Blöcke; 100                                                             # p=0.988 r=0.732 f0.5=0.923 64+889 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#Blöße -> Bloße; 1000                                                              # p=1.000 r=0.606 f0.5=0.885 166+33 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Bloße -> Blöße; 10                                                                # p=0.987 r=0.898 f0.5=0.968 33+166 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99)
Blüte -> Blute; 100                                                                # p=1.000 r=0.712 f0.5=0.925 700+111 2020-02-14 f0.1=1.00 FA/10k=0.000
Blute -> Blüte; 1000                                                               # p=0.996 r=0.664 f0.5=0.905 111+700 2020-02-14 f0.1=0.99 FA/10k=0.000
#Blüten -> Bluten; 10                                                              # p=1.000 r=0.244 f0.5=0.618 421+45 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Bluten -> Blüten; 10000000                                                        # p=0.988 r=0.599 f0.5=0.874 45+421 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Brennöfen -> Brennofen; 100                                                        # p=1.000 r=0.256 f0.5=0.633 314+308 2020-02-14 f0.1=0.97 FA/10k=0.000
#Brände -> Brande; 10000                                                           # p=0.952 r=0.238 f0.5=0.595 991+248 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99)
#Brande -> Brände; 100                                                             # p=0.972 r=0.599 f0.5=0.865 248+991 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Bränden -> Branden; 10                                                            # p=0.984 r=0.453 f0.5=0.797 988+139 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Branden -> Bränden; 10                                                            # p=0.987 r=0.814 f0.5=0.946 139+988 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#Bräuche -> Brauche; 1000                                                          # p=1.000 r=1.000 f0.5=1.000 975+6 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Brauche -> Bräuche; 10                                                            # p=1.000 r=0.806 f0.5=0.954 6+975 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Bräuchen -> Brauchen; 1000                                                        # p=0.989 r=0.957 f0.5=0.983 493+94 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99)
Brauchen -> Bräuchen; 10                                                           # p=0.995 r=0.872 f0.5=0.968 94+493 2020-02-14 f0.1=0.99 FA/10k=0.000
Brüche -> Bruche; 100                                                              # p=1.000 r=0.274 f0.5=0.653 945+201 2020-02-14 f0.1=0.97 FA/10k=0.000
#Bruche -> Brüche; 10000000                                                        # p=0.951 r=0.207 f0.5=0.554 201+945 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99)
Brüder -> Bruder; 1000                                                             # p=0.994 r=0.555 f0.5=0.858 627+839 2020-02-14 f0.1=0.99 FA/10k=0.001
Bruder -> Brüder; 1000                                                             # p=1.000 r=0.531 f0.5=0.850 839+627 2020-02-14 f0.1=0.99 FA/10k=0.000
#Bäche -> Bache; 100                                                               # p=0.983 r=0.209 f0.5=0.564 955+273 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Bache -> Bäche; 10000                                                             # p=0.980 r=0.310 f0.5=0.684 273+955 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Balle -> Bälle; 100                                                               # p=0.964 r=0.493 f0.5=0.809 137+976 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Bällen -> Ballen; 100000                                                          # p=0.962 r=0.254 f0.5=0.617 593+595 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
#Ballen -> Bällen; 1000                                                            # p=0.985 r=0.113 f0.5=0.387 595+593 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99)
Bände -> Bande; 100                                                                # p=1.000 r=0.806 f0.5=0.954 829+335 2020-02-14 f0.1=1.00 FA/10k=0.000
Bande -> Bände; 10000                                                              # p=1.000 r=0.895 f0.5=0.977 335+829 2020-02-14 f0.1=1.00 FA/10k=0.000
Bänden -> Banden; 10                                                               # p=1.000 r=0.453 f0.5=0.805 635+616 2020-02-14 f0.1=0.99 FA/10k=0.000
#Banden -> Bänden; 1000                                                            # p=0.973 r=0.923 f0.5=0.963 616+635 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99)
#Bär -> Bar; 100                                                                   # p=0.960 r=0.212 f0.5=0.563 831+679 2020-02-14 f0.1=0.93 FA/10k=0.001 (commented due to precision < 0.99)
#Bar -> Bär; 100                                                                   # p=0.976 r=0.433 f0.5=0.780 679+831 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
#Bären -> Baren; 100                                                               # p=1.000 r=0.125 f0.5=0.417 816+24 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#Baren -> Bären; 100                                                               # p=0.990 r=0.696 f0.5=0.913 24+816 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Bärte -> Barte; 1000                                                              # p=0.950 r=0.325 f0.5=0.686 196+117 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#Barte -> Bärte; 10                                                                # p=0.961 r=0.250 f0.5=0.613 117+196 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
Bässe -> Basse; 100                                                                # p=0.995 r=0.501 f0.5=0.831 501+808 2020-02-14 f0.1=0.99 FA/10k=0.000
#Basse -> Bässe; 10                                                                # p=0.985 r=0.261 f0.5=0.634 808+501 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Bäuche -> Bauche; 1000                                                            # p=0.968 r=0.261 f0.5=0.628 72+115 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
Bauche -> Bäuche; 100000                                                           # p=1.000 r=0.139 f0.5=0.446 115+72 2020-02-14 f0.1=0.94 FA/10k=0.000
Bäume -> Baume; 100                                                                # p=0.994 r=0.390 f0.5=0.759 892+813 2020-02-14 f0.1=0.98 FA/10k=0.000
#Baume -> Bäume; 10000                                                             # p=0.987 r=0.589 f0.5=0.869 813+892 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#Böden -> Boden; 1000000                                                           # p=0.981 r=0.463 f0.5=0.801 944+884 2020-02-14 f0.1=0.97 FA/10k=0.010 (commented due to precision < 0.99)
#Boden -> Böden; 10                                                                # p=0.982 r=0.468 f0.5=0.805 884+944 2020-02-14 f0.1=0.97 FA/10k=0.010 (commented due to precision < 0.99)
#Borde -> Börde; 100                                                               # p=0.982 r=0.369 f0.5=0.737 171+891 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Bürgen -> Burgen; 10000                                                           # p=0.980 r=0.295 f0.5=0.669 411+325 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Burgen -> Bürgen; 10                                                               # p=1.000 r=0.557 f0.5=0.863 325+411 2020-02-14 f0.1=0.99 FA/10k=0.000
Büsche -> Busche; 1000                                                             # p=0.990 r=0.279 f0.5=0.656 627+340 2020-02-14 f0.1=0.97 FA/10k=0.000
#Busche -> Büsche; 10000                                                           # p=0.954 r=0.432 f0.5=0.769 340+627 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
#Büßen -> Bußen; 10000                                                             # p=0.955 r=0.273 f0.5=0.636 9+77 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#Dröge -> Droge; 100                                                               # p=0.966 r=0.730 f0.5=0.907 160+976 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Droge -> Dröge; 100                                                               # p=0.952 r=0.125 f0.5=0.410 976+160 2020-02-14 f0.1=0.89 FA/10k=0.000 (commented due to precision < 0.99)
#Drögen -> Drogen; 10                                                              # p=0.969 r=0.768 f0.5=0.921 36+937 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#Dröhnen -> Drohnen; 10                                                            # p=0.980 r=0.440 f0.5=0.787 59+988 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Drücken -> Drucken; 100000                                                        # p=0.975 r=0.269 f0.5=0.640 459+442 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Drucken -> Drücken; 1000                                                          # p=0.989 r=0.192 f0.5=0.540 442+459 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Drückende -> Druckende; 10                                                        # p=1.000 r=0.200 f0.5=0.556 4+5 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
#Druckende -> Drückende; 10000                                                     # p=1.000 r=0.500 f0.5=0.833 5+4 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Durchfällen -> Durchfallen; 10                                                    # p=1.000 r=0.571 f0.5=0.870 103+14 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Durchfallen -> Durchfällen; 10000                                                 # p=1.000 r=0.466 f0.5=0.814 14+103 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Durchläufen -> Durchlaufen; 100000                                                # p=0.981 r=0.810 f0.5=0.941 84+63 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Durchlaufen -> Durchläufen; 10                                                     # p=1.000 r=0.798 f0.5=0.952 63+84 2020-02-14 f0.1=1.00 FA/10k=0.000
Dämme -> Damme; 100                                                                # p=0.996 r=0.489 f0.5=0.825 986+974 2020-02-14 f0.1=0.99 FA/10k=0.000
#Damme -> Dämme; 1000                                                              # p=0.976 r=0.454 f0.5=0.794 974+986 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Dösen -> Dosen; 1000                                                              # p=0.973 r=0.567 f0.5=0.851 148+962 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#Dufte -> Düfte; 100                                                               # p=0.978 r=0.520 f0.5=0.832 21+342 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Duften -> Düften; 10                                                              # p=1.000 r=0.639 f0.5=0.899 3+97 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Einbüßen -> Einbußen; 1000                                                        # p=1.000 r=0.770 f0.5=0.944 4+661 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Einfällen -> Einfallen; 1000                                                       # p=0.994 r=0.622 f0.5=0.887 532+251 2020-02-14 f0.1=0.99 FA/10k=0.000
Einfallen -> Einfällen; 100                                                        # p=0.993 r=0.509 f0.5=0.834 251+532 2020-02-14 f0.1=0.98 FA/10k=0.000
Einkäufen -> Einkaufen; 1000                                                       # p=0.996 r=0.740 f0.5=0.932 98+369 2020-02-14 f0.1=0.99 FA/10k=0.000
#Einkaufen -> Einkäufen; 10                                                        # p=0.984 r=0.622 f0.5=0.882 369+98 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Einträgen -> Eintragen; 100000                                                     # p=1.000 r=0.585 f0.5=0.876 988+53 2020-02-14 f0.1=0.99 FA/10k=0.000
Eintragen -> Einträgen; 100                                                        # p=1.000 r=0.594 f0.5=0.880 53+988 2020-02-14 f0.1=0.99 FA/10k=0.000
#Empfänge -> Empfange; 100000                                                      # p=1.000 r=0.294 f0.5=0.676 446+17 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Empfange -> Empfänge; 10                                                          # p=1.000 r=0.780 f0.5=0.947 17+446 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Empfängen -> Empfangen; 1000000                                                   # p=1.000 r=0.639 f0.5=0.898 216+36 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Empfangen -> Empfängen; 10                                                        # p=1.000 r=0.634 f0.5=0.897 36+216 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Erträge -> Ertrage; 100                                                           # p=1.000 r=0.100 f0.5=0.357 942+10 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to sample size < 50)
#Ertrage -> Erträge; 10                                                            # p=0.996 r=0.945 f0.5=0.985 10+942 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Erträgen -> Ertragen; 10                                                          # p=1.000 r=0.538 f0.5=0.854 747+13 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Ertragen -> Erträgen; 10                                                          # p=1.000 r=0.946 f0.5=0.989 13+747 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Fehlschlägen -> Fehlschlagen; 100                                                 # p=1.000 r=0.881 f0.5=0.974 143+42 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Fehlschlagen -> Fehlschlägen; 10                                                  # p=1.000 r=0.755 f0.5=0.939 42+143 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Flughäfen -> Flughafen; 100000                                                    # p=0.983 r=0.135 f0.5=0.436 800+858 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#Flughafen -> Flughäfen; 100                                                       # p=0.987 r=0.287 f0.5=0.664 858+800 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Flache -> Fläche; 10000                                                            # p=0.991 r=0.638 f0.5=0.893 93+893 2020-02-14 f0.1=0.99 FA/10k=0.001
#Flachen -> Flächen; 100                                                           # p=0.995 r=0.784 f0.5=0.944 12+959 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Flüchen -> Fluchen; 1000                                                           # p=1.000 r=0.360 f0.5=0.738 61+100 2020-02-14 f0.1=0.98 FA/10k=0.000
#Flüchten -> Fluchten; 10                                                          # p=0.988 r=0.385 f0.5=0.752 17+205 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Flüge -> Fluge; 1000                                                               # p=1.000 r=0.800 f0.5=0.952 985+215 2020-02-14 f0.1=1.00 FA/10k=0.000
Fluge -> Flüge; 10                                                                 # p=0.995 r=0.625 f0.5=0.890 215+985 2020-02-14 f0.1=0.99 FA/10k=0.000
Flüsse -> Flusse; 100                                                              # p=1.000 r=0.753 f0.5=0.938 521+81 2020-02-14 f0.1=1.00 FA/10k=0.000
Flusse -> Flüsse; 1000000                                                          # p=0.996 r=0.539 f0.5=0.852 81+521 2020-02-14 f0.1=0.99 FA/10k=0.000
#Fragebögen -> Fragebogen; 10000                                                   # p=0.978 r=0.451 f0.5=0.793 482+982 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#Früchten -> Fruchten; 100                                                         # p=1.000 r=0.462 f0.5=0.811 955+13 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Fruchten -> Früchten; 10                                                          # p=0.999 r=0.917 f0.5=0.981 13+955 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Fäden -> Faden; 10000                                                              # p=0.992 r=0.412 f0.5=0.774 987+896 2020-02-14 f0.1=0.98 FA/10k=0.001
Faden -> Fäden; 100                                                                # p=0.992 r=0.495 f0.5=0.826 896+987 2020-02-14 f0.1=0.98 FA/10k=0.001
Fahren -> Fähren; 10                                                               # p=0.997 r=0.303 f0.5=0.683 146+978 2020-02-14 f0.1=0.97 FA/10k=0.000
#Fährten -> Fahrten; 10000000                                                      # p=0.953 r=0.168 f0.5=0.493 299+956 2020-02-14 f0.1=0.91 FA/10k=0.001 (commented due to precision < 0.99)
Fahrten -> Fährten; 100                                                            # p=1.000 r=0.171 f0.5=0.507 956+299 2020-02-14 f0.1=0.95 FA/10k=0.000
Fälle -> Falle; 10000                                                              # p=1.000 r=0.482 f0.5=0.823 709+798 2020-02-14 f0.1=0.99 FA/10k=0.000
Falle -> Fälle; 1000000                                                            # p=1.000 r=0.427 f0.5=0.789 798+709 2020-02-14 f0.1=0.99 FA/10k=0.000
Fällen -> Fallen; 10000                                                            # p=1.000 r=0.313 f0.5=0.695 951+335 2020-02-14 f0.1=0.98 FA/10k=0.000
Fallen -> Fällen; 10000                                                            # p=0.997 r=0.744 f0.5=0.934 335+951 2020-02-14 f0.1=0.99 FA/10k=0.002
Fälschen -> Falschen; 10000000                                                     # p=1.000 r=0.236 f0.5=0.607 82+89 2020-02-14 f0.1=0.97 FA/10k=0.000
Falschen -> Fälschen; 100                                                          # p=1.000 r=0.768 f0.5=0.943 89+82 2020-02-14 f0.1=1.00 FA/10k=0.000
#Fange -> Fänge; 10                                                                # p=1.000 r=0.808 f0.5=0.955 31+448 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Fängen -> Fangen; 10000                                                            # p=1.000 r=0.608 f0.5=0.886 615+148 2020-02-14 f0.1=0.99 FA/10k=0.000
Fangen -> Fängen; 10                                                               # p=1.000 r=0.911 f0.5=0.981 148+615 2020-02-14 f0.1=1.00 FA/10k=0.000
Färben -> Farben; 1000000                                                          # p=0.991 r=0.479 f0.5=0.816 327+906 2020-02-14 f0.1=0.98 FA/10k=0.001
Farben -> Färben; 100                                                              # p=1.000 r=0.618 f0.5=0.890 906+327 2020-02-14 f0.1=0.99 FA/10k=0.000
#Fäule -> Faule; 100                                                               # p=0.989 r=0.345 f0.5=0.720 72+258 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Fördern -> Fordern; 100                                                           # p=1.000 r=0.500 f0.5=0.833 95+40 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Fordern -> Fördern; 1000                                                          # p=1.000 r=0.242 f0.5=0.615 40+95 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Fördernde -> Fordernde; 1000                                                      # p=1.000 r=0.286 f0.5=0.667 41+7 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Fordernde -> Fördernde; 100                                                       # p=1.000 r=0.707 f0.5=0.924 7+41 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Fördernden -> Fordernden; 10                                                      # p=1.000 r=0.333 f0.5=0.714 8+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Fordernden -> Fördernden; 10                                                      # p=1.000 r=0.625 f0.5=0.893 3+8 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Förderung -> Forderung; 10000000                                                   # p=1.000 r=0.222 f0.5=0.588 942+982 2020-02-14 f0.1=0.97 FA/10k=0.000
Forderung -> Förderung; 10000                                                      # p=0.990 r=0.511 f0.5=0.833 982+942 2020-02-14 f0.1=0.98 FA/10k=0.007
#Fügen -> Fugen; 10000                                                             # p=0.987 r=0.497 f0.5=0.825 309+948 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Fugen -> Fügen; 1000                                                               # p=1.000 r=0.188 f0.5=0.536 948+309 2020-02-14 f0.1=0.96 FA/10k=0.000
Füße -> Fuße; 100                                                                  # p=1.000 r=0.993 f0.5=0.999 794+983 2020-02-14 f0.1=1.00 FA/10k=0.000
Fuße -> Füße; 10                                                                   # p=1.000 r=0.960 f0.5=0.992 983+794 2020-02-14 f0.1=1.00 FA/10k=0.000
#Fußen -> Füßen; 10                                                                # p=0.998 r=0.953 f0.5=0.989 4+958 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Gebären -> Gebaren; 10000                                                          # p=1.000 r=0.209 f0.5=0.569 60+163 2020-02-14 f0.1=0.96 FA/10k=0.000
Gebaren -> Gebären; 100                                                            # p=1.000 r=0.267 f0.5=0.645 163+60 2020-02-14 f0.1=0.97 FA/10k=0.000
#Gedrückte -> Gedruckte; 100                                                       # p=1.000 r=0.415 f0.5=0.780 3+82 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Gedruckte -> Gedrückte; 10                                                        # p=1.000 r=0.333 f0.5=0.714 82+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Gedruckten -> Gedrückten; 10                                                      # p=1.000 r=1.000 f0.5=1.000 0+1 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Gefällen -> Gefallen; 100000                                                       # p=1.000 r=0.678 f0.5=0.913 95+152 2020-02-14 f0.1=1.00 FA/10k=0.000
Gefallen -> Gefällen; 10                                                           # p=1.000 r=0.368 f0.5=0.745 152+95 2020-02-14 f0.1=0.98 FA/10k=0.000
#Geförderte -> Geforderte; 100                                                     # p=1.000 r=0.133 f0.5=0.435 31+15 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#Geforderte -> Geförderte; 10                                                      # p=1.000 r=0.516 f0.5=0.842 15+31 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Geförderten -> Geforderten; 10                                                    # p=1.000 r=0.250 f0.5=0.625 20+4 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Geforderten -> Geförderten; 100                                                   # p=1.000 r=0.250 f0.5=0.625 4+20 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Geräten -> Geraten; 100                                                           # p=1.000 r=1.000 f0.5=1.000 967+3 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Geraten -> Geräten; 10                                                            # p=1.000 r=0.727 f0.5=0.930 3+967 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Gestutzte -> Gestützte; 10                                                        # p=1.000 r=0.962 f0.5=0.992 5+26 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Gesägte -> Gesagte; 10                                                            # p=1.000 r=0.907 f0.5=0.980 16+182 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Gesägten -> Gesagten; 10                                                          # p=1.000 r=0.903 f0.5=0.979 5+144 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Gesagten -> Gesägten; 1000                                                        # p=1.000 r=1.000 f0.5=1.000 144+5 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Gewöhnte -> Gewohnte; 10                                                          # p=1.000 r=0.750 f0.5=0.938 0+32 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Gewöhnten -> Gewohnten; 10                                                        # p=1.000 r=0.650 f0.5=0.903 2+20 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Gezahlte -> Gezählte; 10                                                          # p=1.000 r=0.292 f0.5=0.673 3+24 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Gezahlten -> Gezählten; 10                                                        # p=1.000 r=0.444 f0.5=0.800 0+9 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Geachtete -> Geächtete; 10                                                        # p=1.000 r=0.529 f0.5=0.849 1+70 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Geachteten -> Geächteten; 10                                                      # p=0.978 r=0.727 f0.5=0.915 3+187 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Glaser -> Gläser; 1000                                                            # p=0.987 r=0.248 f0.5=0.619 923+943 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Glätte -> Glatte; 10                                                               # p=1.000 r=0.409 f0.5=0.776 136+110 2020-02-14 f0.1=0.99 FA/10k=0.000
#Glatten -> Glätten; 100000                                                        # p=0.984 r=0.428 f0.5=0.781 57+145 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Großmütter -> Großmutter; 100000                                                  # p=0.984 r=0.509 f0.5=0.829 138+991 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Großmutter -> Großmütter; 100                                                      # p=1.000 r=0.138 f0.5=0.444 991+138 2020-02-14 f0.1=0.94 FA/10k=0.000
Großväter -> Großvater; 1000000                                                    # p=0.992 r=0.549 f0.5=0.854 244+948 2020-02-14 f0.1=0.98 FA/10k=0.000
Großvater -> Großväter; 10                                                         # p=1.000 r=0.639 f0.5=0.899 948+244 2020-02-14 f0.1=0.99 FA/10k=0.000
#Gräben -> Graben; 1000                                                            # p=0.969 r=0.248 f0.5=0.613 970+895 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
Graben -> Gräben; 1000                                                             # p=0.990 r=0.200 f0.5=0.553 895+970 2020-02-14 f0.1=0.95 FA/10k=0.000
Gründe -> Grunde; 100                                                              # p=0.999 r=0.976 f0.5=0.994 798+977 2020-02-14 f0.1=1.00 FA/10k=0.001
Grunde -> Gründe; 100000                                                           # p=0.998 r=0.513 f0.5=0.839 977+798 2020-02-14 f0.1=0.99 FA/10k=0.001
Gänge -> Gange; 1000                                                               # p=1.000 r=0.938 f0.5=0.987 777+976 2020-02-14 f0.1=1.00 FA/10k=0.000
Gange -> Gänge; 1000                                                               # p=0.993 r=0.535 f0.5=0.848 976+777 2020-02-14 f0.1=0.98 FA/10k=0.000
Gänze -> Ganze; 1000                                                               # p=1.000 r=0.842 f0.5=0.964 937+177 2020-02-14 f0.1=1.00 FA/10k=0.000
Ganze -> Gänze; 100                                                                # p=1.000 r=0.951 f0.5=0.990 177+937 2020-02-14 f0.1=1.00 FA/10k=0.000
#Gären -> Garen; 10                                                                # p=0.952 r=0.281 f0.5=0.644 13+210 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#Gärten -> Garten; 10000                                                           # p=0.975 r=0.414 f0.5=0.767 809+928 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99)
Garten -> Gärten; 100                                                              # p=0.993 r=0.329 f0.5=0.707 928+809 2020-02-14 f0.1=0.97 FA/10k=0.001
Güte -> Gute; 1000000                                                              # p=0.996 r=0.631 f0.5=0.893 982+423 2020-02-14 f0.1=0.99 FA/10k=0.001
Gute -> Güte; 100                                                                  # p=1.000 r=0.715 f0.5=0.926 423+982 2020-02-14 f0.1=1.00 FA/10k=0.000
#Halbbrüder -> Halbbruder; 10000                                                   # p=0.980 r=0.396 f0.5=0.757 401+988 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Halbbruder -> Halbbrüder; 10                                                       # p=0.995 r=0.499 f0.5=0.830 988+401 2020-02-14 f0.1=0.99 FA/10k=0.000
Herzögen -> Herzogen; 1000                                                         # p=1.000 r=0.119 f0.5=0.404 981+67 2020-02-14 f0.1=0.93 FA/10k=0.000
#Herzogen -> Herzögen; 10                                                          # p=0.967 r=0.695 f0.5=0.897 67+981 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Hochöfen -> Hochofen; 1000                                                         # p=0.998 r=0.438 f0.5=0.795 730+988 2020-02-14 f0.1=0.99 FA/10k=0.000
#Hochofen -> Hochöfen; 1000                                                        # p=0.980 r=0.273 f0.5=0.645 988+730 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Häfen -> Hafen; 10000                                                             # p=0.960 r=0.361 f0.5=0.721 959+939 2020-02-14 f0.1=0.94 FA/10k=0.004 (commented due to precision < 0.99)
Hafen -> Häfen; 100                                                                # p=0.995 r=0.391 f0.5=0.760 939+959 2020-02-14 f0.1=0.98 FA/10k=0.000
Hähne -> Hahne; 100                                                                # p=0.994 r=0.266 f0.5=0.642 450+595 2020-02-14 f0.1=0.97 FA/10k=0.000
#Hahne -> Hähne; 100                                                               # p=0.951 r=0.516 f0.5=0.813 595+450 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
#Hälse -> Halse; 10000                                                             # p=0.950 r=0.456 f0.5=0.781 199+252 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
#Halse -> Hälse; 1000000                                                           # p=0.957 r=0.111 f0.5=0.378 252+199 2020-02-14 f0.1=0.89 FA/10k=0.000 (commented due to precision < 0.99)
#Hämmer -> Hammer; 10000000                                                        # p=0.976 r=0.185 f0.5=0.526 539+899 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
#Hammer -> Hämmer; 100                                                             # p=0.985 r=0.121 f0.5=0.405 899+539 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99)
Händel -> Handel; 1000000                                                          # p=0.991 r=0.481 f0.5=0.817 740+901 2020-02-14 f0.1=0.98 FA/10k=0.003
Handel -> Händel; 100                                                              # p=1.000 r=0.343 f0.5=0.723 901+740 2020-02-14 f0.1=0.98 FA/10k=0.000
Härte -> Harte; 100                                                                # p=0.993 r=0.413 f0.5=0.775 976+334 2020-02-14 f0.1=0.98 FA/10k=0.000
#Harte -> Härte; 10000                                                             # p=0.988 r=0.603 f0.5=0.876 334+976 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
Härten -> Harten; 1000                                                             # p=1.000 r=0.140 f0.5=0.449 421+114 2020-02-14 f0.1=0.94 FA/10k=0.000
#Harten -> Härten; 1000                                                            # p=0.983 r=0.542 f0.5=0.845 114+421 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#Häufen -> Haufen; 10                                                              # p=1.000 r=0.764 f0.5=0.942 7+901 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Haufen -> Häufen; 1000                                                            # p=1.000 r=0.714 f0.5=0.926 901+7 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Höfe -> Hofe; 1000                                                                 # p=0.997 r=0.932 f0.5=0.983 950+936 2020-02-14 f0.1=1.00 FA/10k=0.000
Hofe -> Höfe; 100                                                                  # p=0.995 r=0.696 f0.5=0.917 936+950 2020-02-14 f0.1=0.99 FA/10k=0.000
#Hohle -> Höhle; 10000                                                             # p=0.965 r=0.483 f0.5=0.805 205+968 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
Höhlen -> Hohlen; 100                                                              # p=1.000 r=0.148 f0.5=0.466 902+128 2020-02-14 f0.1=0.95 FA/10k=0.000
#Hohlen -> Höhlen; 100                                                             # p=0.982 r=0.684 f0.5=0.904 128+902 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Hübe -> Hube; 100                                                                  # p=0.996 r=0.483 f0.5=0.821 54+520 2020-02-14 f0.1=0.99 FA/10k=0.000
Hube -> Hübe; 100                                                                  # p=1.000 r=0.185 f0.5=0.532 520+54 2020-02-14 f0.1=0.96 FA/10k=0.000
Hüte -> Hute; 100                                                                  # p=1.000 r=0.141 f0.5=0.450 927+64 2020-02-14 f0.1=0.94 FA/10k=0.000
#Hute -> Hüte; 10                                                                  # p=0.974 r=0.658 f0.5=0.889 64+927 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Kanarienvögel -> Kanarienvogel; 10000                                             # p=0.970 r=0.187 f0.5=0.528 147+171 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#Kanarienvogel -> Kanarienvögel; 10                                                # p=0.950 r=0.259 f0.5=0.619 171+147 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
Kindergärten -> Kindergarten; 10000                                                # p=1.000 r=0.256 f0.5=0.632 941+899 2020-02-14 f0.1=0.97 FA/10k=0.000
Kindergarten -> Kindergärten; 100                                                  # p=0.992 r=0.375 f0.5=0.746 899+941 2020-02-14 f0.1=0.98 FA/10k=0.000
Kleingärten -> Kleingarten; 100                                                    # p=1.000 r=0.200 f0.5=0.556 522+110 2020-02-14 f0.1=0.96 FA/10k=0.000
#Kleingarten -> Kleingärten; 10                                                    # p=0.956 r=0.460 f0.5=0.786 110+522 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Klären -> Klaren; 10                                                              # p=1.000 r=0.682 f0.5=0.915 21+85 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Klaren -> Klären; 10                                                              # p=1.000 r=0.714 f0.5=0.926 85+21 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Klöster -> Kloster; 1000                                                          # p=0.987 r=0.248 f0.5=0.618 776+944 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
Kloster -> Klöster; 100                                                            # p=0.996 r=0.597 f0.5=0.878 944+776 2020-02-14 f0.1=0.99 FA/10k=0.000
#Kränze -> Kranze; 10000                                                           # p=0.970 r=0.492 f0.5=0.812 342+65 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Kranze -> Kränze; 10                                                               # p=0.996 r=0.716 f0.5=0.924 65+342 2020-02-14 f0.1=0.99 FA/10k=0.000
#Krönen -> Kronen; 10                                                              # p=1.000 r=0.677 f0.5=0.913 2+870 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Kronen -> Krönen; 1000                                                            # p=1.000 r=0.500 f0.5=0.833 870+2 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Krüge -> Kruge; 1000                                                               # p=1.000 r=0.143 f0.5=0.455 485+63 2020-02-14 f0.1=0.94 FA/10k=0.000
#Kruge -> Krüge; 100                                                               # p=0.983 r=0.581 f0.5=0.863 63+485 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#Kahne -> Kähne; 10                                                                # p=0.954 r=0.606 f0.5=0.855 100+340 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
Kälte -> Kalte; 100                                                                # p=1.000 r=0.527 f0.5=0.848 957+355 2020-02-14 f0.1=0.99 FA/10k=0.000
Kalte -> Kälte; 10000                                                              # p=0.998 r=0.631 f0.5=0.894 355+957 2020-02-14 f0.1=0.99 FA/10k=0.000
#Kämpe -> Kampe; 1000                                                              # p=0.951 r=0.298 f0.5=0.661 104+262 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
Kämpfe -> Kampfe; 100                                                              # p=1.000 r=0.905 f0.5=0.980 861+317 2020-02-14 f0.1=1.00 FA/10k=0.000
Kampfe -> Kämpfe; 10                                                               # p=0.991 r=0.770 f0.5=0.937 317+861 2020-02-14 f0.1=0.99 FA/10k=0.001
#Kästen -> Kasten; 100000                                                          # p=0.950 r=0.264 f0.5=0.625 598+941 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99)
#Käufe -> Kaufe; 100                                                               # p=1.000 r=0.205 f0.5=0.562 360+44 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
#Kaufe -> Käufe; 10                                                                # p=0.982 r=0.742 f0.5=0.922 44+360 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#Käufen -> Kaufen; 1000                                                            # p=1.000 r=0.525 f0.5=0.847 89+40 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Kaufen -> Käufen; 1000                                                            # p=1.000 r=0.326 f0.5=0.707 40+89 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Koche -> Köche; 100                                                               # p=0.990 r=0.537 f0.5=0.847 30+736 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
Köchen -> Kochen; 100000                                                           # p=0.994 r=0.568 f0.5=0.864 169+583 2020-02-14 f0.1=0.99 FA/10k=0.000
Kochen -> Köchen; 100                                                              # p=1.000 r=0.154 f0.5=0.476 583+169 2020-02-14 f0.1=0.95 FA/10k=0.000
Köcher -> Kocher; 1000                                                             # p=0.991 r=0.228 f0.5=0.593 385+940 2020-02-14 f0.1=0.96 FA/10k=0.000
Kocher -> Köcher; 1000                                                             # p=1.000 r=0.200 f0.5=0.556 940+385 2020-02-14 f0.1=0.96 FA/10k=0.000
Köpfe -> Kopfe; 10                                                                 # p=1.000 r=0.877 f0.5=0.973 587+122 2020-02-14 f0.1=1.00 FA/10k=0.000
#Kopfe -> Köpfe; 10                                                                # p=0.988 r=0.675 f0.5=0.904 122+587 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#Küchen -> Kuchen; 10000                                                           # p=0.984 r=0.386 f0.5=0.751 970+979 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Kuchen -> Küchen; 10                                                              # p=0.954 r=0.171 f0.5=0.498 979+970 2020-02-14 f0.1=0.91 FA/10k=0.001 (commented due to precision < 0.99)
Kühle -> Kuhle; 10                                                                 # p=1.000 r=0.249 f0.5=0.623 264+334 2020-02-14 f0.1=0.97 FA/10k=0.000
Kühlen -> Kuhlen; 10000                                                            # p=1.000 r=0.103 f0.5=0.364 232+341 2020-02-14 f0.1=0.92 FA/10k=0.000
#Kündigen -> Kundigen; 10                                                          # p=1.000 r=0.800 f0.5=0.952 4+20 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Kundigen -> Kündigen; 10                                                          # p=1.000 r=1.000 f0.5=1.000 20+4 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Küren -> Kuren; 100000                                                            # p=0.976 r=0.302 f0.5=0.675 31+404 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
Kürze -> Kurze; 100                                                                # p=0.991 r=0.825 f0.5=0.952 969+525 2020-02-14 f0.1=0.99 FA/10k=0.001
Kurze -> Kürze; 100                                                                # p=1.000 r=0.934 f0.5=0.986 525+969 2020-02-14 f0.1=1.00 FA/10k=0.000
#Kürzen -> Kurzen; 100                                                             # p=1.000 r=0.105 f0.5=0.370 163+19 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to sample size < 50)
#Kurzen -> Kürzen; 1000                                                            # p=0.990 r=0.613 f0.5=0.882 19+163 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Lautstarke -> Lautstärke; 10                                                      # p=1.000 r=0.790 f0.5=0.950 2+995 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Lautstarken -> Lautstärken; 10                                                    # p=1.000 r=0.387 f0.5=0.759 0+93 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Lähmen -> Lahmen; 10                                                              # p=0.988 r=0.778 f0.5=0.938 5+108 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99)
#Lahmen -> Lähmen; 100                                                             # p=1.000 r=0.200 f0.5=0.556 108+5 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
Länge -> Lange; 100                                                                # p=0.997 r=0.519 f0.5=0.842 768+626 2020-02-14 f0.1=0.99 FA/10k=0.001
Längen -> Langen; 100                                                              # p=0.995 r=0.347 f0.5=0.725 968+611 2020-02-14 f0.1=0.98 FA/10k=0.000
Langen -> Längen; 100                                                              # p=1.000 r=0.691 f0.5=0.918 611+968 2020-02-14 f0.1=1.00 FA/10k=0.000
#Lästern -> Lastern; 100                                                           # p=1.000 r=0.561 f0.5=0.865 9+107 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Lastern -> Lästern; 100                                                           # p=1.000 r=0.222 f0.5=0.588 107+9 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
Läufe -> Laufe; 100000                                                             # p=0.997 r=0.987 f0.5=0.995 837+932 2020-02-14 f0.1=1.00 FA/10k=0.001
Laufe -> Läufe; 100                                                                # p=0.995 r=0.691 f0.5=0.914 932+837 2020-02-14 f0.1=0.99 FA/10k=0.001
#Läufen -> Laufen; 10000                                                           # p=0.976 r=0.487 f0.5=0.813 816+341 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Laufen -> Läufen; 100                                                              # p=1.000 r=0.385 f0.5=0.758 341+816 2020-02-14 f0.1=0.98 FA/10k=0.000
#Läusen -> Lausen; 10                                                              # p=0.984 r=0.259 f0.5=0.631 76+243 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Lauten -> Läuten; 10                                                               # p=1.000 r=0.699 f0.5=0.921 65+375 2020-02-14 f0.1=1.00 FA/10k=0.000
Löcher -> Locher; 10                                                               # p=0.995 r=0.298 f0.5=0.678 980+687 2020-02-14 f0.1=0.97 FA/10k=0.000
#Locher -> Löcher; 10000                                                           # p=0.982 r=0.503 f0.5=0.825 687+980 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Löhnen -> Lohnen; 100                                                             # p=1.000 r=0.500 f0.5=0.833 301+4 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Lohnen -> Löhnen; 1000                                                            # p=0.996 r=0.784 f0.5=0.945 4+301 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Lösen -> Losen; 100                                                                # p=1.000 r=0.555 f0.5=0.862 162+164 2020-02-14 f0.1=0.99 FA/10k=0.000
#Losen -> Lösen; 100000                                                            # p=0.980 r=0.599 f0.5=0.869 164+162 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Lösung -> Losung; 10                                                              # p=0.976 r=0.205 f0.5=0.557 668+405 2020-02-14 f0.1=0.94 FA/10k=0.016 (commented due to precision < 0.99)
#Losung -> Lösung; 10000000                                                        # p=0.961 r=0.296 f0.5=0.664 405+668 2020-02-14 f0.1=0.94 FA/10k=0.025 (commented due to precision < 0.99)
Lösungen -> Losungen; 100                                                          # p=1.000 r=0.189 f0.5=0.538 935+143 2020-02-14 f0.1=0.96 FA/10k=0.000
#Losungen -> Lösungen; 100000                                                      # p=0.969 r=0.302 f0.5=0.672 143+935 2020-02-14 f0.1=0.95 FA/10k=0.005 (commented due to precision < 0.99)
Löten -> Loten; 10                                                                 # p=1.000 r=0.658 f0.5=0.906 329+117 2020-02-14 f0.1=0.99 FA/10k=0.000
#Loten -> Löten; 100                                                               # p=0.963 r=0.477 f0.5=0.800 117+329 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Missbräuchen -> Missbrauchen; 100                                                 # p=1.000 r=0.333 f0.5=0.714 67+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Missbrauchen -> Missbräuchen; 10000000                                            # p=1.000 r=0.388 f0.5=0.760 3+67 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Mägen -> Magen; 10000000                                                          # p=0.967 r=0.328 f0.5=0.695 146+974 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99)
Mähnen -> Mahnen; 10                                                               # p=1.000 r=0.464 f0.5=0.812 69+56 2020-02-14 f0.1=0.99 FA/10k=0.000
Mahnen -> Mähnen; 1000                                                             # p=1.000 r=0.145 f0.5=0.459 56+69 2020-02-14 f0.1=0.94 FA/10k=0.000
Mängel -> Mangel; 10000000                                                         # p=0.992 r=0.524 f0.5=0.842 965+958 2020-02-14 f0.1=0.98 FA/10k=0.002
Mangel -> Mängel; 1000                                                             # p=0.996 r=0.509 f0.5=0.836 958+965 2020-02-14 f0.1=0.99 FA/10k=0.001
#Mängeln -> Mangeln; 100                                                           # p=1.000 r=0.125 f0.5=0.417 604+16 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#Mangeln -> Mängeln; 100000                                                        # p=0.997 r=0.545 f0.5=0.855 16+604 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Mäntel -> Mantel; 10000                                                           # p=0.983 r=0.561 f0.5=0.854 435+942 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#Mantel -> Mäntel; 10                                                              # p=0.989 r=0.395 f0.5=0.760 942+435 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Märkte -> Markte; 1000                                                             # p=1.000 r=0.701 f0.5=0.922 875+77 2020-02-14 f0.1=1.00 FA/10k=0.000
Markte -> Märkte; 1000                                                             # p=0.998 r=0.545 f0.5=0.856 77+875 2020-02-14 f0.1=0.99 FA/10k=0.000
#Mütter -> Mutter; 10000000                                                        # p=0.971 r=0.304 f0.5=0.675 850+872 2020-02-14 f0.1=0.95 FA/10k=0.016 (commented due to precision < 0.99)
#Mutter -> Mütter; 100                                                             # p=0.986 r=0.169 f0.5=0.502 872+850 2020-02-14 f0.1=0.94 FA/10k=0.008 (commented due to precision < 0.99)
Nachlässe -> Nachlasse; 100                                                        # p=0.990 r=0.899 f0.5=0.970 829+109 2020-02-14 f0.1=0.99 FA/10k=0.000
Nachlasse -> Nachlässe; 10                                                         # p=0.998 r=0.700 f0.5=0.920 109+829 2020-02-14 f0.1=0.99 FA/10k=0.000
Nachlässen -> Nachlassen; 1000000                                                  # p=1.000 r=0.707 f0.5=0.923 224+314 2020-02-14 f0.1=1.00 FA/10k=0.000
Nachlassen -> Nachlässen; 100                                                      # p=1.000 r=0.656 f0.5=0.905 314+224 2020-02-14 f0.1=0.99 FA/10k=0.000
Niederschlägen -> Niederschlagen; 100                                              # p=1.000 r=0.774 f0.5=0.945 927+53 2020-02-14 f0.1=1.00 FA/10k=0.000
Niederschlagen -> Niederschlägen; 10                                               # p=0.993 r=0.876 f0.5=0.967 53+927 2020-02-14 f0.1=0.99 FA/10k=0.000
#Nägel -> Nagel; 1000                                                              # p=0.986 r=0.299 f0.5=0.676 969+922 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Nagel -> Nägel; 100                                                                # p=0.995 r=0.390 f0.5=0.759 922+969 2020-02-14 f0.1=0.98 FA/10k=0.000
Nägeln -> Nageln; 100                                                              # p=1.000 r=0.250 f0.5=0.625 613+52 2020-02-14 f0.1=0.97 FA/10k=0.000
Nageln -> Nägeln; 100                                                              # p=0.991 r=0.698 f0.5=0.914 52+613 2020-02-14 f0.1=0.99 FA/10k=0.000
Nähe -> Nahe; 10000                                                                # p=1.000 r=0.144 f0.5=0.457 918+236 2020-02-14 f0.1=0.94 FA/10k=0.000
Nahe -> Nähe; 10000                                                                # p=0.994 r=0.577 f0.5=0.869 236+918 2020-02-14 f0.1=0.99 FA/10k=0.002
Nähen -> Nahen; 10000000                                                           # p=0.997 r=0.945 f0.5=0.986 360+327 2020-02-14 f0.1=1.00 FA/10k=0.000
Nahen -> Nähen; 1000                                                               # p=1.000 r=0.444 f0.5=0.800 327+360 2020-02-14 f0.1=0.99 FA/10k=0.000
Nässe -> Nasse; 1000                                                               # p=1.000 r=0.215 f0.5=0.578 708+302 2020-02-14 f0.1=0.97 FA/10k=0.000
#Nasse -> Nässe; 100                                                               # p=0.985 r=0.460 f0.5=0.802 302+708 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Nöte -> Note; 10000                                                               # p=0.983 r=0.617 f0.5=0.879 591+848 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99)
Note -> Nöte; 100                                                                  # p=1.000 r=0.689 f0.5=0.917 848+591 2020-02-14 f0.1=1.00 FA/10k=0.000
Nöten -> Noten; 100000                                                             # p=0.994 r=0.391 f0.5=0.760 458+893 2020-02-14 f0.1=0.98 FA/10k=0.000
Noten -> Nöten; 1000                                                               # p=1.000 r=0.415 f0.5=0.780 893+458 2020-02-14 f0.1=0.99 FA/10k=0.000
#Nützen -> Nutzen; 100000                                                          # p=0.967 r=0.684 f0.5=0.893 31+380 2020-02-14 f0.1=0.96 FA/10k=0.007 (commented due to precision < 0.99)
#Pläne -> Plane; 10                                                                # p=0.989 r=0.300 f0.5=0.678 878+610 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99)
#Plane -> Pläne; 10000000                                                          # p=0.980 r=0.341 f0.5=0.713 610+878 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99)
Plänen -> Planen; 10000                                                            # p=1.000 r=0.442 f0.5=0.798 961+258 2020-02-14 f0.1=0.99 FA/10k=0.000
Planen -> Plänen; 1000                                                             # p=0.997 r=0.819 f0.5=0.956 258+961 2020-02-14 f0.1=0.99 FA/10k=0.000
#Plätten -> Platten; 10                                                            # p=0.952 r=0.660 f0.5=0.874 45+902 2020-02-14 f0.1=0.95 FA/10k=0.002 (commented due to precision < 0.99)
Plätze -> Platze; 10                                                               # p=1.000 r=0.629 f0.5=0.895 788+267 2020-02-14 f0.1=0.99 FA/10k=0.000
Plätzen -> Platzen; 100                                                            # p=1.000 r=0.742 f0.5=0.935 944+418 2020-02-14 f0.1=1.00 FA/10k=0.000
#Platzen -> Plätzen; 10000                                                         # p=0.986 r=0.541 f0.5=0.847 418+944 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Pässe -> Passe; 100                                                                # p=1.000 r=0.342 f0.5=0.722 963+269 2020-02-14 f0.1=0.98 FA/10k=0.000
Passe -> Pässe; 1000                                                               # p=0.993 r=0.317 f0.5=0.696 269+963 2020-02-14 f0.1=0.97 FA/10k=0.000
#Pässen -> Passen; 10                                                              # p=0.984 r=0.594 f0.5=0.870 618+101 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Passen -> Pässen; 1000                                                             # p=0.996 r=0.393 f0.5=0.762 101+618 2020-02-14 f0.1=0.98 FA/10k=0.000
#Quälen -> Qualen; 1000                                                            # p=1.000 r=0.686 f0.5=0.916 38+800 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Qualen -> Quälen; 100                                                             # p=1.000 r=0.553 f0.5=0.861 800+38 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Raubvögel -> Raubvogel; 10                                                         # p=1.000 r=0.278 f0.5=0.659 94+97 2020-02-14 f0.1=0.97 FA/10k=0.000
#Rächen -> Rachen; 10                                                              # p=1.000 r=0.725 f0.5=0.929 3+752 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Rachen -> Rächen; 100                                                             # p=1.000 r=0.333 f0.5=0.714 752+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Ränge -> Range; 1000                                                              # p=0.986 r=0.251 f0.5=0.622 917+855 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Range -> Ränge; 100                                                                # p=0.994 r=0.502 f0.5=0.831 855+917 2020-02-14 f0.1=0.98 FA/10k=0.000
Räte -> Rate; 100000                                                               # p=0.997 r=0.406 f0.5=0.772 943+793 2020-02-14 f0.1=0.98 FA/10k=0.000
#Rate -> Räte; 100                                                                 # p=0.986 r=0.596 f0.5=0.872 793+943 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
Räten -> Raten; 10000                                                              # p=0.997 r=0.502 f0.5=0.833 660+619 2020-02-14 f0.1=0.99 FA/10k=0.000
Raten -> Räten; 1000                                                               # p=0.991 r=0.524 f0.5=0.841 619+660 2020-02-14 f0.1=0.98 FA/10k=0.000
Räuchern -> Rauchern; 100                                                          # p=1.000 r=0.557 f0.5=0.863 205+183 2020-02-14 f0.1=0.99 FA/10k=0.000
#Rauchern -> Räuchern; 100                                                         # p=0.962 r=0.737 f0.5=0.906 183+205 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Räume -> Raume; 10                                                                 # p=0.995 r=0.793 f0.5=0.947 908+246 2020-02-14 f0.1=0.99 FA/10k=0.001
Raume -> Räume; 100                                                                # p=0.990 r=0.645 f0.5=0.894 246+908 2020-02-14 f0.1=0.98 FA/10k=0.001
Rocke -> Röcke; 10                                                                 # p=1.000 r=0.738 f0.5=0.934 93+477 2020-02-14 f0.1=1.00 FA/10k=0.000
#Rohr -> Röhr; 100                                                                 # p=0.966 r=0.254 f0.5=0.619 877+669 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
#Röhre -> Rohre; 100                                                               # p=0.981 r=0.320 f0.5=0.695 979+983 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Rohre -> Röhre; 10000                                                             # p=0.968 r=0.282 f0.5=0.651 983+979 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99)
Rösten -> Rosten; 1000                                                             # p=1.000 r=0.178 f0.5=0.519 199+90 2020-02-14 f0.1=0.96 FA/10k=0.000
Röte -> Rote; 100000                                                               # p=0.995 r=0.526 f0.5=0.845 65+382 2020-02-14 f0.1=0.99 FA/10k=0.000
Rote -> Röte; 100                                                                  # p=1.000 r=0.123 f0.5=0.412 382+65 2020-02-14 f0.1=0.93 FA/10k=0.000
#Röten -> Roten; 1000000                                                           # p=0.984 r=0.808 f0.5=0.943 32+458 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#Roten -> Röten; 1000                                                              # p=1.000 r=0.125 f0.5=0.417 458+32 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
Rühe -> Ruhe; 1000000                                                              # p=0.995 r=0.652 f0.5=0.900 114+857 2020-02-14 f0.1=0.99 FA/10k=0.001
Ruhe -> Rühe; 100                                                                  # p=1.000 r=0.737 f0.5=0.933 857+114 2020-02-14 f0.1=1.00 FA/10k=0.000
Sachschäden -> Sachschaden; 100000                                                 # p=0.995 r=0.459 f0.5=0.806 554+800 2020-02-14 f0.1=0.98 FA/10k=0.000
#Sachschaden -> Sachschäden; 100                                                   # p=0.956 r=0.233 f0.5=0.590 800+554 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
Schläfe -> Schlafe; 100                                                            # p=1.000 r=0.708 f0.5=0.924 245+120 2020-02-14 f0.1=1.00 FA/10k=0.000
Schlafe -> Schläfe; 1000                                                           # p=1.000 r=0.796 f0.5=0.951 120+245 2020-02-14 f0.1=1.00 FA/10k=0.000
Schläfen -> Schlafen; 100000                                                       # p=1.000 r=0.610 f0.5=0.887 196+100 2020-02-14 f0.1=0.99 FA/10k=0.000
Schlafen -> Schläfen; 10                                                           # p=1.000 r=0.648 f0.5=0.902 100+196 2020-02-14 f0.1=0.99 FA/10k=0.000
Schläge -> Schlage; 1000000                                                        # p=1.000 r=0.255 f0.5=0.631 968+267 2020-02-14 f0.1=0.97 FA/10k=0.000
Schlage -> Schläge; 10000                                                          # p=0.998 r=0.439 f0.5=0.795 267+968 2020-02-14 f0.1=0.99 FA/10k=0.000
Schlägen -> Schlagen; 100000                                                       # p=1.000 r=0.533 f0.5=0.851 984+152 2020-02-14 f0.1=0.99 FA/10k=0.000
Schlagen -> Schlägen; 10                                                           # p=0.994 r=0.806 f0.5=0.949 152+984 2020-02-14 f0.1=0.99 FA/10k=0.000
#Schlägers -> Schlagers; 10000                                                     # p=0.985 r=0.346 f0.5=0.719 153+370 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Schlösser -> Schlosser; 10000                                                     # p=0.988 r=0.338 f0.5=0.714 422+955 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Schlosser -> Schlösser; 1000                                                      # p=0.959 r=0.389 f0.5=0.741 955+422 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99)
Schlüsse -> Schlusse; 10                                                           # p=1.000 r=0.865 f0.5=0.970 787+89 2020-02-14 f0.1=1.00 FA/10k=0.000
Schlusse -> Schlüsse; 100                                                          # p=1.000 r=0.892 f0.5=0.976 89+787 2020-02-14 f0.1=1.00 FA/10k=0.000
#Schmelzöfen -> Schmelzofen; 100                                                   # p=0.968 r=0.361 f0.5=0.724 233+169 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
Schmelzofen -> Schmelzöfen; 10000                                                  # p=1.000 r=0.103 f0.5=0.365 169+233 2020-02-14 f0.1=0.92 FA/10k=0.000
#Schmucken -> Schmücken; 10                                                        # p=0.963 r=0.839 f0.5=0.935 2+31 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Schnäbel -> Schnabel; 1000000                                                     # p=0.988 r=0.525 f0.5=0.840 281+783 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Schnabel -> Schnäbel; 100                                                          # p=1.000 r=0.203 f0.5=0.560 783+281 2020-02-14 f0.1=0.96 FA/10k=0.000
#Schrebergärten -> Schrebergarten; 100                                             # p=0.976 r=0.423 f0.5=0.774 165+97 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Schränke -> Schranke; 100000                                                      # p=0.987 r=0.315 f0.5=0.692 361+989 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Schranke -> Schränke; 100                                                          # p=0.991 r=0.319 f0.5=0.697 989+361 2020-02-14 f0.1=0.97 FA/10k=0.000
Schränken -> Schranken; 10000                                                      # p=0.990 r=0.589 f0.5=0.871 191+980 2020-02-14 f0.1=0.98 FA/10k=0.001
Schwäche -> Schwache; 100                                                          # p=1.000 r=0.271 f0.5=0.651 972+129 2020-02-14 f0.1=0.97 FA/10k=0.000
Schwache -> Schwäche; 10000                                                        # p=0.997 r=0.693 f0.5=0.917 129+972 2020-02-14 f0.1=0.99 FA/10k=0.000
#Schwächen -> Schwachen; 1000                                                      # p=0.980 r=0.356 f0.5=0.725 804+135 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
Schwachen -> Schwächen; 10000                                                      # p=1.000 r=0.572 f0.5=0.870 135+804 2020-02-14 f0.1=0.99 FA/10k=0.000
#Schwänen -> Schwanen; 10                                                          # p=0.986 r=0.420 f0.5=0.777 167+169 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Schwanen -> Schwänen; 100                                                         # p=0.975 r=0.467 f0.5=0.801 169+167 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Schwärze -> Schwarze; 1000                                                        # p=0.978 r=0.521 f0.5=0.832 135+336 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#Schwarze -> Schwärze; 10                                                          # p=0.974 r=0.274 f0.5=0.645 336+135 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99)
#Schwärzen -> Schwarzen; 10000000                                                  # p=1.000 r=0.473 f0.5=0.818 25+334 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Schwüle -> Schwule; 1000                                                           # p=0.992 r=0.477 f0.5=0.816 61+524 2020-02-14 f0.1=0.98 FA/10k=0.000
#Schwülen -> Schwulen; 10                                                          # p=1.000 r=0.606 f0.5=0.885 0+518 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Schachten -> Schächten; 1000                                                      # p=0.956 r=0.269 f0.5=0.633 202+974 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
Schäden -> Schaden; 10000000                                                       # p=1.000 r=0.305 f0.5=0.687 963+832 2020-02-14 f0.1=0.98 FA/10k=0.000
Schaden -> Schäden; 1000                                                           # p=1.000 r=0.497 f0.5=0.832 832+963 2020-02-14 f0.1=0.99 FA/10k=0.000
Schälen -> Schalen; 100000                                                         # p=0.995 r=0.405 f0.5=0.770 105+974 2020-02-14 f0.1=0.98 FA/10k=0.000
Schalen -> Schälen; 100                                                            # p=1.000 r=0.533 f0.5=0.851 974+105 2020-02-14 f0.1=0.99 FA/10k=0.000
Schärfe -> Scharfe; 100                                                            # p=1.000 r=0.399 f0.5=0.769 974+228 2020-02-14 f0.1=0.99 FA/10k=0.000
#Scharfe -> Schärfe; 100                                                           # p=0.969 r=0.759 f0.5=0.918 228+974 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99)
#Schärfen -> Scharfen; 10                                                          # p=1.000 r=0.556 f0.5=0.862 133+18 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Scharfen -> Schärfen; 100                                                         # p=1.000 r=0.541 f0.5=0.855 18+133 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Schönen -> Schonen; 10                                                             # p=0.998 r=0.719 f0.5=0.926 253+658 2020-02-14 f0.1=0.99 FA/10k=0.000
Schonen -> Schönen; 10000000                                                       # p=0.993 r=0.577 f0.5=0.868 658+253 2020-02-14 f0.1=0.99 FA/10k=0.000
Schütz -> Schutz; 10000                                                            # p=0.992 r=0.624 f0.5=0.887 852+609 2020-02-14 f0.1=0.99 FA/10k=0.003
Schutz -> Schütz; 1000                                                             # p=0.997 r=0.434 f0.5=0.792 609+852 2020-02-14 f0.1=0.98 FA/10k=0.001
Schütze -> Schutze; 1000                                                           # p=0.997 r=0.923 f0.5=0.981 838+926 2020-02-14 f0.1=1.00 FA/10k=0.000
Schutze -> Schütze; 10                                                             # p=0.997 r=0.726 f0.5=0.927 926+838 2020-02-14 f0.1=0.99 FA/10k=0.000
Singvögel -> Singvogel; 100                                                        # p=0.995 r=0.383 f0.5=0.754 442+493 2020-02-14 f0.1=0.98 FA/10k=0.000
#Späten -> Spaten; 10                                                              # p=0.998 r=0.664 f0.5=0.906 15+648 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Spaten -> Späten; 10                                                              # p=1.000 r=0.467 f0.5=0.814 648+15 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Spüle -> Spule; 100                                                               # p=0.965 r=0.634 f0.5=0.874 76+992 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Spülen -> Spulen; 10000                                                           # p=0.989 r=0.359 f0.5=0.732 190+982 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Spulen -> Spülen; 1000                                                            # p=0.951 r=0.205 f0.5=0.551 982+190 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99)
#Spüren -> Spuren; 10000                                                           # p=1.000 r=0.616 f0.5=0.889 30+781 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Spuren -> Spüren; 10                                                              # p=1.000 r=0.267 f0.5=0.645 781+30 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Strande -> Strände; 10                                                            # p=0.980 r=0.411 f0.5=0.767 181+969 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Stränden -> Stranden; 100                                                         # p=1.000 r=0.333 f0.5=0.714 990+42 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Stranden -> Stränden; 10                                                          # p=0.994 r=0.639 f0.5=0.895 42+990 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Ströme -> Strome; 10                                                              # p=0.978 r=0.564 f0.5=0.853 975+78 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
Strome -> Ströme; 1000                                                             # p=0.993 r=0.564 f0.5=0.862 78+975 2020-02-14 f0.1=0.99 FA/10k=0.000
Stäbe -> Stabe; 100                                                                # p=1.000 r=0.616 f0.5=0.889 992+177 2020-02-14 f0.1=0.99 FA/10k=0.000
Stabe -> Stäbe; 1000                                                               # p=0.998 r=0.498 f0.5=0.831 177+992 2020-02-14 f0.1=0.99 FA/10k=0.000
Stämme -> Stamme; 100                                                              # p=1.000 r=0.742 f0.5=0.935 946+236 2020-02-14 f0.1=1.00 FA/10k=0.000
#Stamme -> Stämme; 100                                                             # p=0.982 r=0.691 f0.5=0.906 236+946 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#Stämmen -> Stammen; 100                                                           # p=1.000 r=0.714 f0.5=0.926 955+7 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Stammen -> Stämmen; 10                                                            # p=1.000 r=0.804 f0.5=0.954 7+955 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Stände -> Stande; 1000                                                             # p=1.000 r=0.947 f0.5=0.989 269+855 2020-02-14 f0.1=1.00 FA/10k=0.000
#Stande -> Stände; 10000                                                           # p=0.983 r=0.643 f0.5=0.889 855+269 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99)
#Stärke -> Starke; 1000                                                            # p=0.982 r=0.262 f0.5=0.634 922+423 2020-02-14 f0.1=0.96 FA/10k=0.004 (commented due to precision < 0.99)
Starke -> Stärke; 10000                                                            # p=0.994 r=0.586 f0.5=0.873 423+922 2020-02-14 f0.1=0.99 FA/10k=0.001
Stärken -> Starken; 10                                                             # p=1.000 r=0.765 f0.5=0.942 502+85 2020-02-14 f0.1=1.00 FA/10k=0.000
Starken -> Stärken; 1000                                                           # p=1.000 r=0.719 f0.5=0.928 85+502 2020-02-14 f0.1=1.00 FA/10k=0.000
#Stätten -> Statten; 100                                                           # p=1.000 r=0.250 f0.5=0.625 355+8 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Statten -> Stätten; 10                                                            # p=0.993 r=0.758 f0.5=0.935 8+355 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Stöcken -> Stocken; 1000                                                           # p=0.998 r=0.860 f0.5=0.967 949+765 2020-02-14 f0.1=1.00 FA/10k=0.000
#Stocken -> Stöcken; 1000                                                          # p=0.979 r=0.336 f0.5=0.708 765+949 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#Stöße -> Stoße; 1000                                                              # p=1.000 r=0.125 f0.5=0.417 603+8 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#Stoße -> Stöße; 10                                                                # p=0.996 r=0.776 f0.5=0.942 8+603 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Stoßen -> Stößen; 10                                                               # p=1.000 r=0.638 f0.5=0.898 601+337 2020-02-14 f0.1=0.99 FA/10k=0.000
Stück -> Stuck; 10                                                                 # p=0.997 r=0.387 f0.5=0.758 898+931 2020-02-14 f0.1=0.98 FA/10k=0.001
Stücks -> Stucks; 100                                                              # p=1.000 r=0.239 f0.5=0.611 983+67 2020-02-14 f0.1=0.97 FA/10k=0.000
#Stucks -> Stücks; 100                                                             # p=0.968 r=0.764 f0.5=0.919 67+983 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Sächliche -> Sachliche; 100000                                                    # p=1.000 r=0.313 f0.5=0.695 9+67 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Sachliche -> Sächliche; 10                                                        # p=1.000 r=0.778 f0.5=0.946 67+9 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Sage -> Säge; 10                                                                   # p=0.991 r=0.121 f0.5=0.406 785+962 2020-02-14 f0.1=0.93 FA/10k=0.000
Sagen -> Sägen; 10                                                                 # p=1.000 r=0.260 f0.5=0.637 412+539 2020-02-14 f0.1=0.97 FA/10k=0.000
Sarge -> Särge; 1000                                                               # p=0.997 r=0.355 f0.5=0.733 170+934 2020-02-14 f0.1=0.98 FA/10k=0.000
Sättel -> Sattel; 10000                                                            # p=0.990 r=0.451 f0.5=0.799 185+920 2020-02-14 f0.1=0.98 FA/10k=0.000
#Säure -> Saure; 100                                                               # p=0.982 r=0.233 f0.5=0.597 945+232 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Saure -> Säure; 100                                                               # p=0.979 r=0.540 f0.5=0.842 232+945 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Säuren -> Sauren; 100                                                              # p=1.000 r=0.310 f0.5=0.692 979+71 2020-02-14 f0.1=0.98 FA/10k=0.000
Sauren -> Säuren; 10                                                               # p=0.991 r=0.825 f0.5=0.953 71+979 2020-02-14 f0.1=0.99 FA/10k=0.000
Söhne -> Sohne; 10                                                                 # p=1.000 r=0.709 f0.5=0.924 602+299 2020-02-14 f0.1=1.00 FA/10k=0.000
#Sohne -> Söhne; 1000000                                                           # p=0.959 r=0.588 f0.5=0.852 299+602 2020-02-14 f0.1=0.95 FA/10k=0.003 (commented due to precision < 0.99)
#Tenore -> Tenöre; 1000                                                            # p=0.962 r=0.330 f0.5=0.696 101+309 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
#Träge -> Trage; 10000                                                             # p=1.000 r=0.465 f0.5=0.813 13+198 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Trage -> Träge; 10                                                                # p=1.000 r=0.154 f0.5=0.476 198+13 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to sample size < 50)
#Trägen -> Tragen; 1000                                                            # p=1.000 r=0.723 f0.5=0.929 5+47 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Tragen -> Trägen; 100                                                             # p=1.000 r=0.200 f0.5=0.556 47+5 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
Träume -> Traume; 10                                                               # p=1.000 r=0.897 f0.5=0.977 774+58 2020-02-14 f0.1=1.00 FA/10k=0.000
Traume -> Träume; 1000                                                             # p=0.998 r=0.544 f0.5=0.855 58+774 2020-02-14 f0.1=0.99 FA/10k=0.000
Träumen -> Traumen; 100                                                            # p=1.000 r=0.194 f0.5=0.547 543+72 2020-02-14 f0.1=0.96 FA/10k=0.000
Traumen -> Träumen; 1000                                                           # p=1.000 r=0.497 f0.5=0.832 72+543 2020-02-14 f0.1=0.99 FA/10k=0.000
Täler -> Taler; 10000                                                              # p=0.998 r=0.478 f0.5=0.820 912+972 2020-02-14 f0.1=0.99 FA/10k=0.000
#Taler -> Täler; 1000                                                              # p=0.985 r=0.508 f0.5=0.829 972+912 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
Tälern -> Talern; 10000                                                            # p=0.999 r=0.713 f0.5=0.925 977+990 2020-02-14 f0.1=1.00 FA/10k=0.000
Talern -> Tälern; 100                                                              # p=0.990 r=0.718 f0.5=0.920 990+977 2020-02-14 f0.1=0.99 FA/10k=0.000
#Tänze -> Tanze; 10                                                                # p=0.988 r=0.579 f0.5=0.866 900+145 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#Tanze -> Tänze; 100                                                               # p=0.984 r=0.464 f0.5=0.804 145+900 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Tänzen -> Tanzen; 100000                                                          # p=0.977 r=0.425 f0.5=0.775 988+294 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Tanzen -> Tänzen; 10                                                               # p=0.996 r=0.571 f0.5=0.867 294+988 2020-02-14 f0.1=0.99 FA/10k=0.000
Täuschen -> Tauschen; 1000                                                         # p=1.000 r=0.108 f0.5=0.376 52+93 2020-02-14 f0.1=0.92 FA/10k=0.000
#Töchter -> Tochter; 100000                                                        # p=0.975 r=0.158 f0.5=0.480 488+740 2020-02-14 f0.1=0.93 FA/10k=0.005 (commented due to precision < 0.99)
Tochter -> Töchter; 100                                                            # p=0.993 r=0.557 f0.5=0.859 740+488 2020-02-14 f0.1=0.99 FA/10k=0.001
Töne -> Tone; 100                                                                  # p=0.990 r=0.108 f0.5=0.376 964+898 2020-02-14 f0.1=0.92 FA/10k=0.001
#Tone -> Töne; 100000                                                              # p=0.960 r=0.271 f0.5=0.636 898+964 2020-02-14 f0.1=0.94 FA/10k=0.003 (commented due to precision < 0.99)
#Topfen -> Töpfen; 100                                                             # p=0.969 r=0.568 f0.5=0.849 65+273 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
Töten -> Toten; 1000                                                               # p=1.000 r=0.857 f0.5=0.968 125+593 2020-02-14 f0.1=1.00 FA/10k=0.000
#Toten -> Töten; 100                                                               # p=0.985 r=0.520 f0.5=0.835 593+125 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
Tüten -> Tuten; 100                                                                # p=1.000 r=0.300 f0.5=0.682 199+50 2020-02-14 f0.1=0.98 FA/10k=0.000
#Tuten -> Tüten; 10                                                                # p=0.958 r=0.693 f0.5=0.890 50+199 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#Umläufen -> Umlaufen; 10                                                          # p=1.000 r=0.222 f0.5=0.588 238+18 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Umlaufen -> Umläufen; 10                                                          # p=0.983 r=0.723 f0.5=0.917 18+238 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Umschlägen -> Umschlagen; 1000                                                     # p=1.000 r=0.626 f0.5=0.893 95+91 2020-02-14 f0.1=0.99 FA/10k=0.000
Umschlagen -> Umschlägen; 1000                                                     # p=1.000 r=0.326 f0.5=0.708 91+95 2020-02-14 f0.1=0.98 FA/10k=0.000
#Unschärfe -> Unscharfe; 100                                                       # p=1.000 r=0.440 f0.5=0.797 468+25 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Unscharfe -> Unschärfe; 10                                                        # p=1.000 r=0.135 f0.5=0.438 25+468 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
Ursprünge -> Ursprunge; 10                                                         # p=1.000 r=0.811 f0.5=0.955 929+111 2020-02-14 f0.1=1.00 FA/10k=0.000
Ursprunge -> Ursprünge; 100                                                        # p=0.996 r=0.873 f0.5=0.969 111+929 2020-02-14 f0.1=0.99 FA/10k=0.000
#Urväter -> Urvater; 10                                                            # p=0.958 r=0.471 f0.5=0.794 81+291 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
Urvater -> Urväter; 100                                                            # p=1.000 r=0.123 f0.5=0.413 291+81 2020-02-14 f0.1=0.93 FA/10k=0.000
#Verbände -> Verbande; 10                                                          # p=0.974 r=0.623 f0.5=0.876 885+61 2020-02-14 f0.1=0.97 FA/10k=0.003 (commented due to precision < 0.99)
Verbande -> Verbände; 100                                                          # p=0.997 r=0.767 f0.5=0.941 61+885 2020-02-14 f0.1=0.99 FA/10k=0.000
#Verbünden -> Verbunden; 10000                                                     # p=1.000 r=0.793 f0.5=0.950 87+29 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Verbunden -> Verbünden; 100                                                       # p=1.000 r=0.345 f0.5=0.725 29+87 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Verkaufe -> Verkäufe; 10                                                          # p=0.997 r=0.710 f0.5=0.923 21+966 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Verkäufen -> Verkaufen; 10000                                                      # p=1.000 r=0.460 f0.5=0.810 592+63 2020-02-14 f0.1=0.99 FA/10k=0.000
Verkaufen -> Verkäufen; 10                                                         # p=0.997 r=0.493 f0.5=0.828 63+592 2020-02-14 f0.1=0.99 FA/10k=0.000
Verläufe -> Verlaufe; 10000                                                        # p=0.993 r=0.991 f0.5=0.993 381+913 2020-02-14 f0.1=0.99 FA/10k=0.000
Verlaufe -> Verläufe; 10                                                           # p=1.000 r=0.740 f0.5=0.934 913+381 2020-02-14 f0.1=1.00 FA/10k=0.000
#Verlaufen -> Verläufen; 10                                                        # p=1.000 r=0.756 f0.5=0.939 1+197 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Verstoße -> Verstöße; 10                                                          # p=0.996 r=0.890 f0.5=0.973 3+926 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Verstößen -> Verstoßen; 100                                                       # p=1.000 r=0.323 f0.5=0.704 793+31 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Verstoßen -> Verstößen; 10                                                        # p=0.996 r=0.947 f0.5=0.986 31+793 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Verträge -> Vertrage; 100                                                         # p=1.000 r=0.520 f0.5=0.844 934+25 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Vertrage -> Verträge; 100                                                         # p=0.996 r=0.823 f0.5=0.956 25+934 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50)
#Verträgen -> Vertragen; 1000                                                      # p=1.000 r=0.200 f0.5=0.556 965+15 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
#Vertragen -> Verträgen; 10                                                        # p=0.994 r=0.839 f0.5=0.959 15+965 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Verträgliche -> Vertragliche; 1000                                                # p=1.000 r=0.533 f0.5=0.851 3+60 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Vorgärten -> Vorgarten; 100                                                        # p=0.990 r=0.622 f0.5=0.885 236+455 2020-02-14 f0.1=0.98 FA/10k=0.000
#Vorschlägen -> Vorschlagen; 100                                                   # p=1.000 r=0.269 f0.5=0.648 977+26 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#Vorschlagen -> Vorschlägen; 100                                                   # p=0.995 r=0.831 f0.5=0.957 26+977 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Vorstößen -> Vorstoßen; 10                                                        # p=1.000 r=0.514 f0.5=0.841 252+37 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Vorstoßen -> Vorstößen; 100                                                       # p=1.000 r=0.492 f0.5=0.829 37+252 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Vorträge -> Vortrage; 10                                                           # p=1.000 r=0.552 f0.5=0.860 790+67 2020-02-14 f0.1=0.99 FA/10k=0.000
Vortrage -> Vorträge; 1000                                                         # p=0.997 r=0.751 f0.5=0.935 67+790 2020-02-14 f0.1=0.99 FA/10k=0.000
Vorträgen -> Vortragen; 100                                                        # p=1.000 r=0.580 f0.5=0.874 997+81 2020-02-14 f0.1=0.99 FA/10k=0.000
Vortragen -> Vorträgen; 1000                                                       # p=0.996 r=0.759 f0.5=0.938 81+997 2020-02-14 f0.1=0.99 FA/10k=0.000
Väter -> Vater; 100000                                                             # p=0.992 r=0.537 f0.5=0.848 836+871 2020-02-14 f0.1=0.98 FA/10k=0.004
Vater -> Väter; 10                                                                 # p=0.998 r=0.481 f0.5=0.821 871+836 2020-02-14 f0.1=0.99 FA/10k=0.001
#Vögel -> Vogel; 10000                                                             # p=0.989 r=0.315 f0.5=0.693 612+882 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
Vogel -> Vögel; 100                                                                # p=1.000 r=0.350 f0.5=0.729 882+612 2020-02-14 f0.1=0.98 FA/10k=0.000
#Völker -> Volker; 1000                                                            # p=0.986 r=0.437 f0.5=0.788 720+467 2020-02-14 f0.1=0.97 FA/10k=0.005 (commented due to precision < 0.99)
Volker -> Völker; 1000                                                             # p=0.998 r=0.668 f0.5=0.908 467+720 2020-02-14 f0.1=0.99 FA/10k=0.001
#Willensstarke -> Willensstärke; 10                                                # p=0.983 r=0.592 f0.5=0.868 2+98 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Wägen -> Wagen; 10000000                                                           # p=0.991 r=0.258 f0.5=0.632 86+833 2020-02-14 f0.1=0.96 FA/10k=0.001
Wählen -> Wahlen; 10000                                                            # p=0.997 r=0.738 f0.5=0.931 56+783 2020-02-14 f0.1=0.99 FA/10k=0.001
Wahlen -> Wählen; 1000                                                             # p=1.000 r=0.536 f0.5=0.852 783+56 2020-02-14 f0.1=0.99 FA/10k=0.000
#Währen -> Wahren; 10000000                                                        # p=0.963 r=0.239 f0.5=0.599 24+109 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
Währung -> Wahrung; 100000                                                         # p=0.997 r=0.770 f0.5=0.942 953+973 2020-02-14 f0.1=0.99 FA/10k=0.000
Wahrung -> Währung; 100                                                            # p=0.996 r=0.556 f0.5=0.860 973+953 2020-02-14 f0.1=0.99 FA/10k=0.001
#Wälzen -> Walzen; 10                                                              # p=0.981 r=0.678 f0.5=0.901 28+854 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
Wärme -> Warme; 100                                                                # p=1.000 r=0.116 f0.5=0.397 925+146 2020-02-14 f0.1=0.93 FA/10k=0.000
#Warme -> Wärme; 100000                                                            # p=0.979 r=0.445 f0.5=0.790 146+925 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99)
Wärmen -> Warmen; 100                                                              # p=1.000 r=0.317 f0.5=0.699 51+60 2020-02-14 f0.1=0.98 FA/10k=0.000
#Wässern -> Wassern; 10000                                                         # p=0.985 r=0.467 f0.5=0.806 202+433 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Wölfe -> Wolfe; 100                                                               # p=0.989 r=0.371 f0.5=0.742 786+965 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Wolfe -> Wölfe; 1000                                                              # p=0.983 r=0.522 f0.5=0.835 965+786 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
Wünsche -> Wunsche; 100                                                            # p=1.000 r=0.832 f0.5=0.961 726+107 2020-02-14 f0.1=1.00 FA/10k=0.000
Wunsche -> Wünsche; 100                                                            # p=0.998 r=0.727 f0.5=0.929 107+726 2020-02-14 f0.1=0.99 FA/10k=0.000
Würsten -> Wursten; 100                                                            # p=0.995 r=0.694 f0.5=0.916 88+304 2020-02-14 f0.1=0.99 FA/10k=0.000
#Zufällen -> Zufallen; 100                                                         # p=1.000 r=0.286 f0.5=0.667 125+7 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Zufallen -> Zufällen; 10000                                                       # p=1.000 r=0.392 f0.5=0.763 7+125 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Zulaufen -> Zuläufen; 10                                                          # p=1.000 r=0.132 f0.5=0.431 5+76 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
Zusammenhänge -> Zusammenhange; 10000                                              # p=1.000 r=0.634 f0.5=0.897 937+93 2020-02-14 f0.1=0.99 FA/10k=0.000
Zusammenhange -> Zusammenhänge; 100                                                # p=1.000 r=0.866 f0.5=0.970 93+937 2020-02-14 f0.1=1.00 FA/10k=0.000
#Zusammenstößen -> Zusammenstoßen; 10000                                           # p=1.000 r=0.533 f0.5=0.851 704+15 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Zusammenstoßen -> Zusammenstößen; 10                                              # p=1.000 r=0.938 f0.5=0.987 15+704 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#Zuschlägen -> Zuschlagen; 1000                                                    # p=1.000 r=0.474 f0.5=0.818 74+38 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Zuschlagen -> Zuschlägen; 1000                                                    # p=0.974 r=0.514 f0.5=0.826 38+74 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#Zustände -> Zustande; 1000                                                        # p=1.000 r=0.478 f0.5=0.821 977+23 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Zustande -> Zustände; 10                                                          # p=0.999 r=0.830 f0.5=0.960 23+977 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
Zwischenboden -> Zwischenböden; 10                                                 # p=1.000 r=0.278 f0.5=0.658 54+54 2020-02-14 f0.1=0.97 FA/10k=0.000
#Zählen -> Zahlen; 10                                                              # p=0.995 r=0.818 f0.5=0.954 17+758 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50)
#Zählende -> Zahlende; 10                                                          # p=1.000 r=0.577 f0.5=0.872 1+26 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#Zählenden -> Zahlenden; 10                                                        # p=1.000 r=0.543 f0.5=0.856 0+35 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Zähler -> Zahler; 10                                                               # p=1.000 r=0.161 f0.5=0.490 880+118 2020-02-14 f0.1=0.95 FA/10k=0.000
#Zahler -> Zähler; 10000                                                           # p=0.956 r=0.245 f0.5=0.605 118+880 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#Zählung -> Zahlung; 100000                                                        # p=0.974 r=0.459 f0.5=0.795 971+969 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99)
Zahlung -> Zählung; 100                                                            # p=0.992 r=0.258 f0.5=0.633 969+971 2020-02-14 f0.1=0.96 FA/10k=0.001
#Zählungen -> Zahlungen; 10000000                                                  # p=0.954 r=0.149 f0.5=0.459 399+972 2020-02-14 f0.1=0.91 FA/10k=0.002 (commented due to precision < 0.99)
#Zahlungen -> Zählungen; 10                                                        # p=0.974 r=0.190 f0.5=0.534 972+399 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
#Zähmen -> Zahmen; 10                                                              # p=1.000 r=0.335 f0.5=0.716 14+167 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#Zollen -> Zöllen; 1000000                                                         # p=1.000 r=0.527 f0.5=0.848 11+338 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
Züge -> Zuge; 1000                                                                 # p=1.000 r=0.978 f0.5=0.995 900+944 2020-02-14 f0.1=1.00 FA/10k=0.000
Zuge -> Züge; 10                                                                   # p=1.000 r=0.776 f0.5=0.945 944+900 2020-02-14 f0.1=1.00 FA/10k=0.000
#abdrücken -> abdrucken; 100                                                       # p=1.000 r=0.446 f0.5=0.801 45+83 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#abdrucken -> abdrücken; 100                                                       # p=1.000 r=0.200 f0.5=0.556 83+45 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
#abfahrt -> abfährt; 10                                                            # p=1.000 r=0.376 f0.5=0.751 0+117 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#abfuhren -> abführen; 1000                                                        # p=0.995 r=0.398 f0.5=0.766 42+477 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#abgedrückt -> abgedruckt; 10000                                                   # p=0.988 r=0.394 f0.5=0.759 62+868 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#abgesägt -> abgesagt; 1000                                                        # p=0.973 r=0.354 f0.5=0.721 131+933 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
abgesagt -> abgesägt; 10                                                           # p=1.000 r=0.107 f0.5=0.374 933+131 2020-02-14 f0.1=0.92 FA/10k=0.000
#anfahrt -> anfährt; 10                                                            # p=1.000 r=0.216 f0.5=0.579 0+139 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#ausdrucke -> ausdrücke; 10                                                        # p=1.000 r=0.500 f0.5=0.833 0+6 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#ausdrucken -> ausdrücken; 100000                                                  # p=0.958 r=0.329 f0.5=0.693 111+690 2020-02-14 f0.1=0.94 FA/10k=0.003 (commented due to precision < 0.99)
#ausfällen -> ausfallen; 1000000                                                   # p=0.990 r=0.463 f0.5=0.807 35+870 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#ausfuhren -> ausführen; 10                                                        # p=0.986 r=0.705 f0.5=0.913 18+811 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
ausgedruckt -> ausgedrückt; 1000000                                                # p=0.990 r=0.314 f0.5=0.692 281+966 2020-02-14 f0.1=0.97 FA/10k=0.001
#ausgelosten -> ausgelösten; 100                                                   # p=1.000 r=0.327 f0.5=0.708 47+988 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
ausgezahlt -> ausgezählt; 10                                                       # p=1.000 r=0.150 f0.5=0.470 628+226 2020-02-14 f0.1=0.95 FA/10k=0.000
#auszählen -> auszahlen; 100                                                       # p=0.969 r=0.529 f0.5=0.831 24+473 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
bedrückt -> bedruckt; 10                                                           # p=1.000 r=0.332 f0.5=0.713 208+630 2020-02-14 f0.1=0.98 FA/10k=0.000
bedrückte -> bedruckte; 10                                                         # p=0.991 r=0.402 f0.5=0.767 52+286 2020-02-14 f0.1=0.98 FA/10k=0.000
#begrabt -> begräbt; 10                                                            # p=1.000 r=0.580 f0.5=0.874 4+212 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#bekämen -> bekamen; 100000                                                        # p=0.954 r=0.264 f0.5=0.627 145+949 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99)
#benützten -> benutzten; 1000                                                      # p=0.965 r=0.200 f0.5=0.547 79+976 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99)
#beschwören -> beschworen; 10000                                                   # p=0.989 r=0.226 f0.5=0.591 358+402 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
beschworen -> beschwören; 10000                                                    # p=1.000 r=0.397 f0.5=0.767 402+358 2020-02-14 f0.1=0.99 FA/10k=0.000
betrügen -> betrugen; 100000                                                       # p=0.992 r=0.728 f0.5=0.925 471+981 2020-02-14 f0.1=0.99 FA/10k=0.000
betrugen -> betrügen; 10                                                           # p=1.000 r=0.803 f0.5=0.953 981+471 2020-02-14 f0.1=1.00 FA/10k=0.000
#bewähren -> bewahren; 10000                                                       # p=0.989 r=0.332 f0.5=0.709 562+837 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#bewahren -> bewähren; 10                                                          # p=0.978 r=0.313 f0.5=0.686 837+562 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99)
#bewährt -> bewahrt; 100                                                           # p=0.979 r=0.502 f0.5=0.823 937+938 2020-02-14 f0.1=0.97 FA/10k=0.003 (commented due to precision < 0.99)
bewahrt -> bewährt; 10000                                                          # p=0.992 r=0.256 f0.5=0.630 938+937 2020-02-14 f0.1=0.96 FA/10k=0.001
bewährte -> bewahrte; 100                                                          # p=0.991 r=0.450 f0.5=0.799 940+974 2020-02-14 f0.1=0.98 FA/10k=0.000
#bewahrte -> bewährte; 1000                                                        # p=0.989 r=0.384 f0.5=0.752 974+940 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#bewährten -> bewahrten; 1000                                                      # p=0.983 r=0.270 f0.5=0.643 969+419 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
#bewahrten -> bewährten; 100                                                       # p=0.960 r=0.577 f0.5=0.848 419+969 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99)
#bezögen -> bezogen; 1000000                                                       # p=0.967 r=0.375 f0.5=0.735 60+939 2020-02-14 f0.1=0.95 FA/10k=0.007 (commented due to precision < 0.99)
#bläst -> blast; 10                                                                # p=1.000 r=0.278 f0.5=0.658 574+18 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#blast -> bläst; 100                                                               # p=1.000 r=0.643 f0.5=0.900 18+574 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#brächte -> brachte; 10000000                                                      # p=0.958 r=0.334 f0.5=0.698 170+894 2020-02-14 f0.1=0.94 FA/10k=0.013 (commented due to precision < 0.99)
#brächten -> brachten; 1000000                                                     # p=0.955 r=0.252 f0.5=0.613 130+938 2020-02-14 f0.1=0.93 FA/10k=0.004 (commented due to precision < 0.99)
#bänden -> banden; 10                                                              # p=1.000 r=0.235 f0.5=0.606 0+187 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#bögen -> bogen; 10                                                                # p=1.000 r=0.300 f0.5=0.682 3+10 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#böten -> boten; 1000000                                                           # p=0.955 r=0.170 f0.5=0.496 119+624 2020-02-14 f0.1=0.91 FA/10k=0.002 (commented due to precision < 0.99)
#drängen -> drangen; 100                                                           # p=0.973 r=0.489 f0.5=0.812 345+969 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99)
#drangen -> drängen; 100000                                                        # p=0.981 r=0.446 f0.5=0.791 969+345 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#drucke -> drücke; 10                                                              # p=1.000 r=0.637 f0.5=0.898 16+135 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#drücken -> drucken; 10                                                            # p=0.973 r=0.408 f0.5=0.762 487+449 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
drucken -> drücken; 100000                                                         # p=0.990 r=0.207 f0.5=0.564 449+487 2020-02-14 f0.1=0.95 FA/10k=0.001
#drückende -> druckende; 100                                                       # p=0.952 r=0.290 f0.5=0.654 136+69 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#druckende -> drückende; 10000                                                     # p=0.967 r=0.434 f0.5=0.776 69+136 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#drückenden -> druckenden; 100                                                     # p=0.983 r=0.522 f0.5=0.836 165+113 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#druckenden -> drückenden; 10000                                                   # p=0.988 r=0.509 f0.5=0.832 113+165 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#druckt -> drückt; 10000000                                                        # p=0.952 r=0.207 f0.5=0.554 259+956 2020-02-14 f0.1=0.92 FA/10k=0.004 (commented due to precision < 0.99)
drückte -> druckte; 10                                                             # p=1.000 r=0.129 f0.5=0.426 981+992 2020-02-14 f0.1=0.94 FA/10k=0.000
#durchfahrt -> durchfährt; 10                                                      # p=1.000 r=0.555 f0.5=0.862 0+328 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
durchführen -> durchfuhren; 100                                                    # p=1.000 r=0.217 f0.5=0.581 901+138 2020-02-14 f0.1=0.97 FA/10k=0.000
#durchfuhren -> durchführen; 100                                                   # p=0.970 r=0.463 f0.5=0.795 138+901 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99)
#dämpfte -> dampfte; 10                                                            # p=0.961 r=0.333 f0.5=0.698 79+147 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
#döse -> dose; 10                                                                  # p=1.000 r=0.353 f0.5=0.732 4+51 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#dosen -> dösen; 10                                                                # p=1.000 r=0.500 f0.5=0.833 3+18 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
dümmer -> dummer; 10                                                               # p=1.000 r=0.724 f0.5=0.929 65+134 2020-02-14 f0.1=1.00 FA/10k=0.000
dummer -> dümmer; 100                                                              # p=1.000 r=0.585 f0.5=0.876 134+65 2020-02-14 f0.1=0.99 FA/10k=0.000
#durfte -> dürfte; 1000000                                                         # p=0.957 r=0.120 f0.5=0.399 979+926 2020-02-14 f0.1=0.90 FA/10k=0.022 (commented due to precision < 0.99)
#dürften -> durften; 100                                                           # p=0.962 r=0.157 f0.5=0.474 992+970 2020-02-14 f0.1=0.92 FA/10k=0.007 (commented due to precision < 0.99)
#einfahrt -> einfährt; 10                                                          # p=1.000 r=0.389 f0.5=0.761 0+113 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#einfuhren -> einführen; 1000                                                      # p=0.984 r=0.407 f0.5=0.766 96+765 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
erkältet -> erkaltet; 1000                                                         # p=1.000 r=0.110 f0.5=0.382 175+100 2020-02-14 f0.1=0.93 FA/10k=0.000
erkaltet -> erkältet; 100                                                          # p=1.000 r=0.463 f0.5=0.812 100+175 2020-02-14 f0.1=0.99 FA/10k=0.000
#erlöschen -> erloschen; 10000                                                     # p=0.982 r=0.353 f0.5=0.724 200+950 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#ertränken -> ertranken; 10                                                        # p=0.969 r=0.453 f0.5=0.790 307+763 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
ertranken -> ertränken; 10000                                                      # p=0.995 r=0.609 f0.5=0.883 763+307 2020-02-14 f0.1=0.99 FA/10k=0.000
#flöhen -> flohen; 10                                                              # p=1.000 r=0.764 f0.5=0.942 4+941 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#fluchten -> flüchten; 10                                                          # p=0.980 r=0.650 f0.5=0.890 38+974 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#fährt -> fahrt; 100                                                               # p=1.000 r=0.143 f0.5=0.455 928+14 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#fahrt -> fährt; 10                                                                # p=0.992 r=0.691 f0.5=0.913 14+928 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50)
#fälle -> falle; 1000                                                              # p=1.000 r=0.528 f0.5=0.848 3+36 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#fällen -> fallen; 10000                                                           # p=0.997 r=0.659 f0.5=0.904 33+563 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50)
#fallen -> fällen; 100                                                             # p=1.000 r=0.152 f0.5=0.472 563+33 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to sample size < 50)
fälschen -> falschen; 100                                                          # p=0.995 r=0.917 f0.5=0.978 171+860 2020-02-14 f0.1=0.99 FA/10k=0.000
falschen -> fälschen; 100                                                          # p=1.000 r=0.480 f0.5=0.822 860+171 2020-02-14 f0.1=0.99 FA/10k=0.000
#fördere -> fordere; 1000000                                                       # p=0.958 r=0.160 f0.5=0.480 263+287 2020-02-14 f0.1=0.91 FA/10k=0.001 (commented due to precision < 0.99)
#fördern -> fordern; 1000                                                          # p=0.960 r=0.299 f0.5=0.666 917+966 2020-02-14 f0.1=0.94 FA/10k=0.012 (commented due to precision < 0.99)
#fordern -> fördern; 1000                                                          # p=0.965 r=0.182 f0.5=0.519 966+917 2020-02-14 f0.1=0.93 FA/10k=0.010 (commented due to precision < 0.99)
fordernd -> fördernd; 1000000                                                      # p=1.000 r=0.151 f0.5=0.471 107+152 2020-02-14 f0.1=0.95 FA/10k=0.000
fördernde -> fordernde; 100                                                        # p=1.000 r=0.113 f0.5=0.389 328+62 2020-02-14 f0.1=0.93 FA/10k=0.000
fordernde -> fördernde; 1000                                                       # p=1.000 r=0.372 f0.5=0.748 62+328 2020-02-14 f0.1=0.98 FA/10k=0.000
#fordernden -> fördernden; 1000                                                    # p=0.986 r=0.271 f0.5=0.645 98+255 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#fördert -> fordert; 100000                                                        # p=0.956 r=0.177 f0.5=0.509 942+986 2020-02-14 f0.1=0.92 FA/10k=0.010 (commented due to precision < 0.99)
#fordert -> fördert; 10                                                            # p=0.970 r=0.242 f0.5=0.606 986+942 2020-02-14 f0.1=0.94 FA/10k=0.007 (commented due to precision < 0.99)
#forderten -> förderten; 10                                                        # p=0.987 r=0.152 f0.5=0.471 969+991 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
#füge -> fuge; 100                                                                 # p=1.000 r=0.143 f0.5=0.455 125+14 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#fuge -> füge; 10                                                                  # p=1.000 r=0.768 f0.5=0.943 14+125 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#fugen -> fügen; 10                                                                # p=1.000 r=0.814 f0.5=0.956 3+672 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#führen -> fuhren; 100                                                             # p=0.988 r=0.170 f0.5=0.503 789+953 2020-02-14 f0.1=0.94 FA/10k=0.010 (commented due to precision < 0.99)
#gebaren -> gebären; 10000                                                         # p=0.996 r=0.413 f0.5=0.777 31+586 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#gedrückt -> gedruckt; 10000                                                       # p=0.972 r=0.422 f0.5=0.771 980+663 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99)
gedruckt -> gedrückt; 10                                                           # p=0.998 r=0.465 f0.5=0.812 663+980 2020-02-14 f0.1=0.99 FA/10k=0.000
#gedrückte -> gedruckte; 1000                                                      # p=0.985 r=0.618 f0.5=0.880 149+851 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
gedruckte -> gedrückte; 100                                                        # p=1.000 r=0.295 f0.5=0.677 851+149 2020-02-14 f0.1=0.98 FA/10k=0.000
#gedrückten -> gedruckten; 1000                                                    # p=0.984 r=0.610 f0.5=0.876 192+983 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
#gedruckten -> gedrückten; 10                                                      # p=0.964 r=0.276 f0.5=0.643 983+192 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
gedrückter -> gedruckter; 10000                                                    # p=0.997 r=0.536 f0.5=0.851 108+686 2020-02-14 f0.1=0.99 FA/10k=0.000
gedruckter -> gedrückter; 10000                                                    # p=1.000 r=0.222 f0.5=0.588 686+108 2020-02-14 f0.1=0.97 FA/10k=0.000
gefördert -> gefordert; 1000                                                       # p=0.994 r=0.169 f0.5=0.503 859+910 2020-02-14 f0.1=0.95 FA/10k=0.002
gefordert -> gefördert; 1000                                                       # p=0.991 r=0.364 f0.5=0.737 910+859 2020-02-14 f0.1=0.97 FA/10k=0.003
#geforderte -> geförderte; 100                                                     # p=0.987 r=0.401 f0.5=0.764 965+963 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
#geförderten -> geforderten; 10000                                                 # p=0.970 r=0.294 f0.5=0.664 966+983 2020-02-14 f0.1=0.95 FA/10k=0.002 (commented due to precision < 0.99)
geforderten -> geförderten; 1000                                                   # p=1.000 r=0.391 f0.5=0.763 983+966 2020-02-14 f0.1=0.98 FA/10k=0.000
geforderter -> geförderter; 10                                                     # p=1.000 r=0.444 f0.5=0.800 73+187 2020-02-14 f0.1=0.99 FA/10k=0.000
gelautet -> geläutet; 100                                                          # p=1.000 r=0.483 f0.5=0.823 178+773 2020-02-14 f0.1=0.99 FA/10k=0.000
#gestutzte -> gestützte; 10                                                        # p=0.961 r=0.168 f0.5=0.494 69+726 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99)
#gestützten -> gestutzten; 100                                                     # p=0.962 r=0.231 f0.5=0.590 629+108 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99)
#gestutzten -> gestützten; 10                                                      # p=0.953 r=0.161 f0.5=0.480 108+629 2020-02-14 f0.1=0.91 FA/10k=0.000 (commented due to precision < 0.99)
gesagt -> gesägt; 10                                                               # p=1.000 r=0.125 f0.5=0.417 900+758 2020-02-14 f0.1=0.94 FA/10k=0.000
#gesagten -> gesägten; 10                                                          # p=1.000 r=0.533 f0.5=0.851 15+272 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
gesünder -> gesunder; 100                                                          # p=1.000 r=0.731 f0.5=0.931 147+554 2020-02-14 f0.1=1.00 FA/10k=0.000
gesunder -> gesünder; 100                                                          # p=1.000 r=0.551 f0.5=0.860 554+147 2020-02-14 f0.1=0.99 FA/10k=0.000
#getauscht -> getäuscht; 10000                                                     # p=0.960 r=0.273 f0.5=0.639 969+623 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
gewährt -> gewahrt; 100                                                            # p=0.997 r=0.414 f0.5=0.778 971+928 2020-02-14 f0.1=0.98 FA/10k=0.001
gewahrt -> gewährt; 100000                                                         # p=1.000 r=0.226 f0.5=0.593 928+971 2020-02-14 f0.1=0.97 FA/10k=0.000
gewöhnt -> gewohnt; 10000                                                          # p=0.995 r=0.216 f0.5=0.578 982+974 2020-02-14 f0.1=0.96 FA/10k=0.000
gewohnt -> gewöhnt; 1000                                                           # p=0.994 r=0.354 f0.5=0.730 974+982 2020-02-14 f0.1=0.98 FA/10k=0.001
gewöhnte -> gewohnte; 10                                                           # p=0.995 r=0.865 f0.5=0.966 121+465 2020-02-14 f0.1=0.99 FA/10k=0.000
gewohnte -> gewöhnte; 1000                                                         # p=1.000 r=0.719 f0.5=0.928 465+121 2020-02-14 f0.1=1.00 FA/10k=0.000
gewöhnten -> gewohnten; 100                                                        # p=1.000 r=0.795 f0.5=0.951 97+972 2020-02-14 f0.1=1.00 FA/10k=0.000
#gewohnten -> gewöhnten; 100                                                       # p=0.981 r=0.526 f0.5=0.836 972+97 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99)
gezählt -> gezahlt; 10                                                             # p=0.991 r=0.480 f0.5=0.817 929+971 2020-02-14 f0.1=0.98 FA/10k=0.001
gezahlt -> gezählt; 10000                                                          # p=0.998 r=0.488 f0.5=0.825 971+929 2020-02-14 f0.1=0.99 FA/10k=0.000
#gezählte -> gezahlte; 1000                                                        # p=0.980 r=0.454 f0.5=0.796 160+218 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#gezählten -> gezahlten; 1000                                                      # p=0.975 r=0.497 f0.5=0.818 413+398 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
gezahlten -> gezählten; 10                                                         # p=1.000 r=0.165 f0.5=0.496 398+413 2020-02-14 f0.1=0.95 FA/10k=0.000
#geächtet -> geachtet; 100000                                                      # p=0.972 r=0.390 f0.5=0.749 613+981 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
#geachtet -> geächtet; 10                                                          # p=0.989 r=0.153 f0.5=0.473 981+613 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
geachtete -> geächtete; 10                                                         # p=1.000 r=0.103 f0.5=0.366 153+58 2020-02-14 f0.1=0.92 FA/10k=0.000
#geächteten -> geachteten; 10000                                                   # p=0.971 r=0.335 f0.5=0.704 126+203 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#geächteter -> geachteter; 10                                                      # p=0.962 r=0.670 f0.5=0.885 15+191 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#glätte -> glatte; 10                                                              # p=1.000 r=0.811 f0.5=0.955 8+857 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#glatte -> glätte; 1000                                                            # p=1.000 r=0.250 f0.5=0.625 857+8 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
glätten -> glatten; 100                                                            # p=0.997 r=0.791 f0.5=0.948 223+933 2020-02-14 f0.1=0.99 FA/10k=0.000
glatten -> glätten; 10                                                             # p=0.995 r=0.834 f0.5=0.958 933+223 2020-02-14 f0.1=0.99 FA/10k=0.000
gröber -> grober; 10000                                                            # p=0.994 r=0.448 f0.5=0.799 325+685 2020-02-14 f0.1=0.98 FA/10k=0.000
#größer -> großer; 1000000                                                         # p=0.989 r=0.573 f0.5=0.864 932+164 2020-02-14 f0.1=0.98 FA/10k=0.008 (commented due to precision < 0.99)
großer -> größer; 100000                                                           # p=1.000 r=0.837 f0.5=0.962 164+932 2020-02-14 f0.1=1.00 FA/10k=0.000
garen -> gären; 10000                                                              # p=1.000 r=0.103 f0.5=0.365 74+68 2020-02-14 f0.1=0.92 FA/10k=0.000
#herzögen -> herzogen; 10                                                          # p=1.000 r=0.857 f0.5=0.968 0+14 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#härte -> harte; 10                                                                # p=0.998 r=0.874 f0.5=0.970 1+499 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
härten -> harten; 1000                                                             # p=0.994 r=0.772 f0.5=0.940 94+812 2020-02-14 f0.1=0.99 FA/10k=0.000
härter -> harter; 100                                                              # p=0.996 r=0.750 f0.5=0.935 701+748 2020-02-14 f0.1=0.99 FA/10k=0.000
harter -> härter; 1000                                                             # p=1.000 r=0.702 f0.5=0.922 748+701 2020-02-14 f0.1=1.00 FA/10k=0.000
#hätte -> hatte; 10000000                                                          # p=0.974 r=0.151 f0.5=0.466 935+736 2020-02-14 f0.1=0.92 FA/10k=0.129 (commented due to precision < 0.99)
hatte -> hätte; 10                                                                 # p=0.996 r=0.260 f0.5=0.636 736+935 2020-02-14 f0.1=0.97 FA/10k=0.020
#hattest -> hättest; 1000                                                          # p=0.976 r=0.244 f0.5=0.610 217+673 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
hattet -> hättet; 10000                                                            # p=1.000 r=0.103 f0.5=0.365 51+126 2020-02-14 f0.1=0.92 FA/10k=0.000
#häute -> haute; 10                                                                # p=1.000 r=0.586 f0.5=0.876 3+29 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
höher -> hoher; 100                                                                # p=1.000 r=0.776 f0.5=0.945 888+567 2020-02-14 f0.1=1.00 FA/10k=0.000
hoher -> höher; 100                                                                # p=1.000 r=0.899 f0.5=0.978 567+888 2020-02-14 f0.1=1.00 FA/10k=0.000
#höhle -> hohle; 10                                                                # p=0.998 r=0.674 f0.5=0.910 2+645 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#höhlen -> hohlen; 10                                                              # p=1.000 r=0.816 f0.5=0.957 4+868 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#horte -> hörte; 1000                                                              # p=1.000 r=0.786 f0.5=0.948 7+991 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
hörten -> horten; 100                                                              # p=1.000 r=0.413 f0.5=0.778 986+63 2020-02-14 f0.1=0.99 FA/10k=0.000
#horten -> hörten; 1000                                                            # p=0.985 r=0.598 f0.5=0.872 63+986 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99)
jünger -> junger; 1000                                                             # p=0.998 r=0.800 f0.5=0.951 333+639 2020-02-14 f0.1=1.00 FA/10k=0.000
junger -> jünger; 1000                                                             # p=1.000 r=0.910 f0.5=0.981 639+333 2020-02-14 f0.1=1.00 FA/10k=0.000
#kläre -> klare; 1000                                                              # p=1.000 r=0.822 f0.5=0.958 9+752 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#klare -> kläre; 1000                                                              # p=1.000 r=0.222 f0.5=0.588 752+9 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
klären -> klaren; 1000                                                             # p=1.000 r=0.859 f0.5=0.968 964+900 2020-02-14 f0.1=1.00 FA/10k=0.000
klaren -> klären; 100000                                                           # p=1.000 r=0.728 f0.5=0.931 900+964 2020-02-14 f0.1=1.00 FA/10k=0.000
klüger -> kluger; 10                                                               # p=1.000 r=0.818 f0.5=0.957 260+308 2020-02-14 f0.1=1.00 FA/10k=0.000
kluger -> klüger; 10000                                                            # p=0.995 r=0.762 f0.5=0.937 308+260 2020-02-14 f0.1=0.99 FA/10k=0.000
kälter -> kalter; 10                                                               # p=1.000 r=0.809 f0.5=0.955 509+409 2020-02-14 f0.1=1.00 FA/10k=0.000
kalter -> kälter; 10000                                                            # p=1.000 r=0.680 f0.5=0.914 409+509 2020-02-14 f0.1=1.00 FA/10k=0.000
#konnte -> könnte; 10                                                              # p=0.964 r=0.286 f0.5=0.653 928+935 2020-02-14 f0.1=0.94 FA/10k=0.107 (commented due to precision < 0.99)
#könnten -> konnten; 10000                                                         # p=0.966 r=0.169 f0.5=0.497 734+840 2020-02-14 f0.1=0.92 FA/10k=0.042 (commented due to precision < 0.99)
#könntest -> konntest; 10                                                          # p=0.956 r=0.575 f0.5=0.844 289+113 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#konntest -> könntest; 1000                                                        # p=0.988 r=0.273 f0.5=0.649 113+289 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
kündigen -> kundigen; 10                                                           # p=1.000 r=0.720 f0.5=0.928 880+75 2020-02-14 f0.1=1.00 FA/10k=0.000
kundigen -> kündigen; 10                                                           # p=0.996 r=0.922 f0.5=0.980 75+880 2020-02-14 f0.1=1.00 FA/10k=0.000
#kürze -> kurze; 10000000                                                          # p=0.988 r=0.550 f0.5=0.852 18+302 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99)
#kürzen -> kurzen; 10000                                                           # p=0.987 r=0.850 f0.5=0.956 493+957 2020-02-14 f0.1=0.99 FA/10k=0.002 (commented due to precision < 0.99)
kurzen -> kürzen; 100                                                              # p=1.000 r=0.789 f0.5=0.949 957+493 2020-02-14 f0.1=1.00 FA/10k=0.000
kürzer -> kurzer; 10                                                               # p=0.998 r=0.828 f0.5=0.959 888+548 2020-02-14 f0.1=1.00 FA/10k=0.000
kurzer -> kürzer; 100                                                              # p=1.000 r=0.977 f0.5=0.995 548+888 2020-02-14 f0.1=1.00 FA/10k=0.000
leistungsstärker -> leistungsstarker; 10                                           # p=1.000 r=0.468 f0.5=0.815 113+124 2020-02-14 f0.1=0.99 FA/10k=0.000
leistungsstarker -> leistungsstärker; 10                                           # p=1.000 r=0.549 f0.5=0.859 124+113 2020-02-14 f0.1=0.99 FA/10k=0.000
lähmen -> lahmen; 10                                                               # p=1.000 r=0.625 f0.5=0.893 134+72 2020-02-14 f0.1=0.99 FA/10k=0.000
lahmen -> lähmen; 100000                                                           # p=1.000 r=0.119 f0.5=0.404 72+134 2020-02-14 f0.1=0.93 FA/10k=0.000
länger -> langer; 100000                                                           # p=1.000 r=0.651 f0.5=0.903 844+315 2020-02-14 f0.1=0.99 FA/10k=0.000
langer -> länger; 100                                                              # p=1.000 r=0.918 f0.5=0.983 315+844 2020-02-14 f0.1=1.00 FA/10k=0.000
lässt -> lasst; 1000                                                               # p=1.000 r=0.202 f0.5=0.559 936+173 2020-02-14 f0.1=0.96 FA/10k=0.000
lasst -> lässt; 10000000                                                           # p=0.992 r=0.376 f0.5=0.747 173+936 2020-02-14 f0.1=0.98 FA/10k=0.003
lauten -> läuten; 100                                                              # p=0.996 r=0.413 f0.5=0.776 729+584 2020-02-14 f0.1=0.98 FA/10k=0.000
lautet -> läutet; 100                                                              # p=1.000 r=0.156 f0.5=0.480 577+507 2020-02-14 f0.1=0.95 FA/10k=0.000
lautete -> läutete; 100                                                            # p=1.000 r=0.248 f0.5=0.623 953+584 2020-02-14 f0.1=0.97 FA/10k=0.000
#läuteten -> lauteten; 1000                                                        # p=0.967 r=0.330 f0.5=0.698 265+800 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
#lauteten -> läuteten; 100                                                         # p=0.989 r=0.355 f0.5=0.729 800+265 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
läßt -> laßt; 100                                                                  # p=1.000 r=0.443 f0.5=0.799 922+106 2020-02-14 f0.1=0.99 FA/10k=0.000
laßt -> läßt; 100000                                                               # p=0.992 r=0.566 f0.5=0.863 106+922 2020-02-14 f0.1=0.98 FA/10k=0.010
#löhne -> lohne; 10                                                                # p=1.000 r=0.813 f0.5=0.956 0+123 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#löhnen -> lohnen; 1000                                                            # p=1.000 r=0.748 f0.5=0.937 1+357 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
löse -> lose; 10000                                                                # p=1.000 r=0.428 f0.5=0.789 144+409 2020-02-14 f0.1=0.99 FA/10k=0.000
lose -> löse; 100                                                                  # p=1.000 r=0.438 f0.5=0.795 409+144 2020-02-14 f0.1=0.99 FA/10k=0.000
lösen -> losen; 100                                                                # p=0.997 r=0.775 f0.5=0.943 779+824 2020-02-14 f0.1=0.99 FA/10k=0.001
#losen -> lösen; 100000                                                            # p=0.971 r=0.650 f0.5=0.884 824+779 2020-02-14 f0.1=0.97 FA/10k=0.007 (commented due to precision < 0.99)
#löst -> lost; 10                                                                  # p=1.000 r=0.625 f0.5=0.893 935+24 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#lost -> löst; 10                                                                  # p=0.999 r=0.887 f0.5=0.974 24+935 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#loste -> löste; 10                                                                # p=0.986 r=0.853 f0.5=0.956 15+911 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#löten -> loten; 10                                                                # p=1.000 r=0.346 f0.5=0.726 24+26 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#loten -> löten; 10                                                                # p=1.000 r=0.125 f0.5=0.417 26+24 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#lügt -> lugt; 100                                                                 # p=1.000 r=0.189 f0.5=0.538 616+37 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
#lugt -> lügt; 100                                                                 # p=0.995 r=0.628 f0.5=0.891 37+616 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#mitfahrt -> mitfährt; 10                                                          # p=1.000 r=0.915 f0.5=0.982 0+59 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#mochten -> möchten; 100000                                                        # p=0.954 r=0.294 f0.5=0.658 319+769 2020-02-14 f0.1=0.93 FA/10k=0.006 (commented due to precision < 0.99)
#münde -> munde; 10                                                                # p=1.000 r=0.143 f0.5=0.455 40+7 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
müsst -> musst; 10000000                                                           # p=0.997 r=0.906 f0.5=0.977 360+955 2020-02-14 f0.1=1.00 FA/10k=0.000
musst -> müsst; 10                                                                 # p=1.000 r=0.858 f0.5=0.968 955+360 2020-02-14 f0.1=1.00 FA/10k=0.000
musste -> müsste; 10                                                               # p=1.000 r=0.125 f0.5=0.417 929+983 2020-02-14 f0.1=0.94 FA/10k=0.000
#müßte -> mußte; 10000                                                             # p=0.951 r=0.161 f0.5=0.480 230+478 2020-02-14 f0.1=0.91 FA/10k=0.050 (commented due to precision < 0.99)
#mußte -> müßte; 100                                                               # p=0.962 r=0.109 f0.5=0.374 478+230 2020-02-14 f0.1=0.89 FA/10k=0.039 (commented due to precision < 0.99)
#nähe -> nahe; 10                                                                  # p=0.996 r=0.636 f0.5=0.895 10+731 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50)
nähen -> nahen; 1000                                                               # p=0.996 r=0.804 f0.5=0.950 191+557 2020-02-14 f0.1=0.99 FA/10k=0.000
nahen -> nähen; 100                                                                # p=1.000 r=0.283 f0.5=0.663 557+191 2020-02-14 f0.1=0.98 FA/10k=0.000
näher -> naher; 100                                                                # p=1.000 r=0.813 f0.5=0.956 891+684 2020-02-14 f0.1=1.00 FA/10k=0.000
naher -> näher; 1000000                                                            # p=0.997 r=0.645 f0.5=0.899 684+891 2020-02-14 f0.1=0.99 FA/10k=0.001
#nässe -> nasse; 10                                                                # p=1.000 r=0.665 f0.5=0.908 3+677 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#nütze -> nutze; 10                                                                # p=0.981 r=0.330 f0.5=0.704 92+639 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
nutzen -> nützen; 10                                                               # p=0.991 r=0.258 f0.5=0.632 588+450 2020-02-14 f0.1=0.96 FA/10k=0.001
#nutzt -> nützt; 100                                                               # p=0.966 r=0.317 f0.5=0.685 972+537 2020-02-14 f0.1=0.95 FA/10k=0.002 (commented due to precision < 0.99)
#nützten -> nutzten; 1000                                                          # p=0.955 r=0.234 f0.5=0.591 86+986 2020-02-14 f0.1=0.93 FA/10k=0.001 (commented due to precision < 0.99)
#plätten -> platten; 1000                                                          # p=1.000 r=0.500 f0.5=0.833 7+24 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#rängen -> rangen; 10                                                              # p=0.991 r=0.550 f0.5=0.854 1+211 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
#röte -> rote; 10                                                                  # p=1.000 r=0.937 f0.5=0.987 0+254 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#röten -> roten; 100                                                               # p=0.997 r=0.921 f0.5=0.980 30+315 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#roten -> röten; 1000                                                              # p=1.000 r=0.267 f0.5=0.645 315+30 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#schlägt -> schlagt; 100                                                           # p=1.000 r=0.269 f0.5=0.648 845+26 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#schlagt -> schlägt; 10                                                            # p=0.983 r=0.763 f0.5=0.930 26+845 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99)
#schmücke -> schmucke; 10                                                          # p=1.000 r=0.691 f0.5=0.918 24+110 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#schmucke -> schmücke; 10                                                          # p=1.000 r=0.708 f0.5=0.924 110+24 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
schmücken -> schmucken; 10                                                         # p=1.000 r=0.817 f0.5=0.957 961+120 2020-02-14 f0.1=1.00 FA/10k=0.000
schmucken -> schmücken; 10                                                         # p=0.996 r=0.750 f0.5=0.935 120+961 2020-02-14 f0.1=0.99 FA/10k=0.000
#schwäche -> schwache; 10                                                          # p=0.997 r=0.842 f0.5=0.962 21+825 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#schwache -> schwäche; 100                                                         # p=1.000 r=0.286 f0.5=0.667 825+21 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
schwächen -> schwachen; 10                                                         # p=0.998 r=0.948 f0.5=0.987 183+842 2020-02-14 f0.1=1.00 FA/10k=0.000
schwachen -> schwächen; 100000                                                     # p=1.000 r=0.623 f0.5=0.892 842+183 2020-02-14 f0.1=0.99 FA/10k=0.000
schwächer -> schwacher; 100                                                        # p=0.996 r=0.703 f0.5=0.919 974+945 2020-02-14 f0.1=0.99 FA/10k=0.000
schwacher -> schwächer; 100000                                                     # p=1.000 r=0.610 f0.5=0.887 945+974 2020-02-14 f0.1=0.99 FA/10k=0.000
#schwämmen -> schwammen; 100                                                       # p=0.981 r=0.426 f0.5=0.778 5+242 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#schwärze -> schwarze; 1000                                                        # p=1.000 r=0.936 f0.5=0.987 2+314 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
schwärzen -> schwarzen; 1000                                                       # p=0.993 r=0.804 f0.5=0.948 63+506 2020-02-14 f0.1=0.99 FA/10k=0.001
schwarzen -> schwärzen; 1000                                                       # p=1.000 r=0.270 f0.5=0.649 506+63 2020-02-14 f0.1=0.97 FA/10k=0.000
#schwärzer -> schwarzer; 10                                                        # p=0.974 r=0.851 f0.5=0.947 42+134 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#schwarzer -> schwärzer; 100                                                       # p=1.000 r=0.667 f0.5=0.909 134+42 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#schworen -> schwören; 10000                                                       # p=0.973 r=0.399 f0.5=0.755 295+828 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#schwül -> schwul; 10                                                              # p=0.983 r=0.462 f0.5=0.802 122+894 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#schwüle -> schwule; 10                                                            # p=0.991 r=0.482 f0.5=0.818 43+446 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
schwülen -> schwulen; 10                                                           # p=0.994 r=0.362 f0.5=0.737 57+464 2020-02-14 f0.1=0.98 FA/10k=0.000
#schalen -> schälen; 10                                                            # p=1.000 r=0.737 f0.5=0.933 14+114 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#schalt -> schält; 10                                                              # p=1.000 r=0.717 f0.5=0.927 26+138 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#schärfe -> scharfe; 10                                                            # p=0.998 r=0.853 f0.5=0.965 12+652 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#scharfe -> schärfe; 1000                                                          # p=1.000 r=0.333 f0.5=0.714 652+12 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
schärfen -> scharfen; 10                                                           # p=0.995 r=0.937 f0.5=0.982 282+967 2020-02-14 f0.1=0.99 FA/10k=0.000
scharfen -> schärfen; 100                                                          # p=1.000 r=0.667 f0.5=0.909 967+282 2020-02-14 f0.1=1.00 FA/10k=0.000
schärfer -> scharfer; 1000                                                         # p=0.999 r=0.793 f0.5=0.949 582+905 2020-02-14 f0.1=1.00 FA/10k=0.000
scharfer -> schärfer; 1000                                                         # p=0.995 r=0.723 f0.5=0.926 905+582 2020-02-14 f0.1=0.99 FA/10k=0.000
schön -> schon; 100000                                                             # p=0.994 r=0.646 f0.5=0.897 512+759 2020-02-14 f0.1=0.99 FA/10k=0.022
schon -> schön; 100                                                                # p=1.000 r=0.396 f0.5=0.767 759+512 2020-02-14 f0.1=0.99 FA/10k=0.000
#schöne -> schone; 100                                                             # p=1.000 r=0.400 f0.5=0.769 371+35 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#schone -> schöne; 100                                                             # p=0.989 r=0.943 f0.5=0.979 35+371 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to precision < 0.99)
schönen -> schonen; 1000                                                           # p=1.000 r=0.820 f0.5=0.958 578+323 2020-02-14 f0.1=1.00 FA/10k=0.000
schonen -> schönen; 100                                                            # p=0.993 r=0.917 f0.5=0.976 323+578 2020-02-14 f0.1=0.99 FA/10k=0.001
#sprächen -> sprachen; 10000000                                                    # p=0.960 r=0.847 f0.5=0.935 166+85 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99)
#spülen -> spulen; 10                                                              # p=1.000 r=0.143 f0.5=0.455 152+14 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50)
#spulen -> spülen; 100                                                             # p=0.980 r=0.638 f0.5=0.885 14+152 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
#spuren -> spüren; 1000                                                            # p=1.000 r=0.830 f0.5=0.961 4+963 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#spurt -> spürt; 100000                                                            # p=0.998 r=0.535 f0.5=0.851 14+987 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#stählen -> stahlen; 10                                                            # p=0.981 r=0.341 f0.5=0.713 13+302 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99)
#stahlen -> stählen; 1000                                                          # p=1.000 r=0.538 f0.5=0.854 302+13 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#stärke -> starke; 10                                                              # p=0.992 r=0.893 f0.5=0.971 15+421 2020-02-14 f0.1=0.99 FA/10k=0.003 (commented due to sample size < 50)
#starke -> stärke; 1000                                                            # p=1.000 r=0.333 f0.5=0.714 421+15 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50)
stärken -> starken; 10                                                             # p=0.996 r=0.959 f0.5=0.989 493+828 2020-02-14 f0.1=1.00 FA/10k=0.001
starken -> stärken; 100                                                            # p=1.000 r=0.895 f0.5=0.977 828+493 2020-02-14 f0.1=1.00 FA/10k=0.000
stärker -> starker; 10000                                                          # p=0.998 r=0.601 f0.5=0.882 824+805 2020-02-14 f0.1=0.99 FA/10k=0.001
starker -> stärker; 100000                                                         # p=1.000 r=0.598 f0.5=0.882 805+824 2020-02-14 f0.1=0.99 FA/10k=0.000
#stunde -> stünde; 10                                                              # p=0.997 r=0.734 f0.5=0.930 3+788 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#stunden -> stünden; 10                                                            # p=0.998 r=0.661 f0.5=0.906 3+881 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#stutzen -> stützen; 10000000                                                      # p=0.979 r=0.203 f0.5=0.554 45+459 2020-02-14 f0.1=0.94 FA/10k=0.002 (commented due to precision < 0.99)
#sächlich -> sachlich; 10000000                                                    # p=0.982 r=0.352 f0.5=0.723 79+920 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99)
#sächliche -> sachliche; 10000000                                                  # p=0.989 r=0.446 f0.5=0.795 69+835 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#säge -> sage; 10                                                                  # p=0.984 r=0.931 f0.5=0.973 8+130 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99)
#sägt -> sagt; 1000000                                                             # p=0.974 r=0.712 f0.5=0.907 58+885 2020-02-14 f0.1=0.97 FA/10k=0.014 (commented due to precision < 0.99)
träfen -> trafen; 1000000                                                          # p=0.991 r=0.363 f0.5=0.736 65+901 2020-02-14 f0.1=0.97 FA/10k=0.000
träge -> trage; 100000                                                             # p=1.000 r=0.524 f0.5=0.846 571+760 2020-02-14 f0.1=0.99 FA/10k=0.000
trage -> träge; 10                                                                 # p=0.993 r=0.723 f0.5=0.924 760+571 2020-02-14 f0.1=0.99 FA/10k=0.000
trägen -> tragen; 100000                                                           # p=0.996 r=0.518 f0.5=0.841 153+882 2020-02-14 f0.1=0.99 FA/10k=0.001
tragen -> trägen; 100                                                              # p=1.000 r=0.575 f0.5=0.871 882+153 2020-02-14 f0.1=0.99 FA/10k=0.000
#tränken -> tranken; 10000                                                         # p=0.973 r=0.309 f0.5=0.680 79+353 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
tranken -> tränken; 100                                                            # p=1.000 r=0.570 f0.5=0.869 353+79 2020-02-14 f0.1=0.99 FA/10k=0.000
#träten -> traten; 10000000                                                        # p=0.970 r=0.336 f0.5=0.705 59+871 2020-02-14 f0.1=0.95 FA/10k=0.004 (commented due to precision < 0.99)
#trögen -> trogen; 10                                                              # p=1.000 r=0.750 f0.5=0.938 1+4 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#trogen -> trögen; 10                                                              # p=1.000 r=1.000 f0.5=1.000 4+1 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
täten -> taten; 10000000                                                           # p=1.000 r=0.146 f0.5=0.461 159+240 2020-02-14 f0.1=0.95 FA/10k=0.000
taten -> täten; 10                                                                 # p=1.000 r=0.119 f0.5=0.404 240+159 2020-02-14 f0.1=0.93 FA/10k=0.000
#tauschen -> täuschen; 10000                                                       # p=0.973 r=0.196 f0.5=0.543 896+923 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99)
#täuschten -> tauschten; 100                                                       # p=0.963 r=0.266 f0.5=0.632 76+986 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
töte -> tote; 10000                                                                # p=1.000 r=0.829 f0.5=0.960 181+123 2020-02-14 f0.1=1.00 FA/10k=0.000
tote -> töte; 100                                                                  # p=1.000 r=0.646 f0.5=0.901 123+181 2020-02-14 f0.1=0.99 FA/10k=0.000
#töten -> toten; 100000                                                            # p=0.967 r=0.750 f0.5=0.914 747+116 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99)
toten -> töten; 10                                                                 # p=0.999 r=0.910 f0.5=0.980 116+747 2020-02-14 f0.1=1.00 FA/10k=0.000
#tüten -> tuten; 10                                                                # p=1.000 r=0.231 f0.5=0.600 12+13 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#umlauft -> umläuft; 10                                                            # p=1.000 r=0.241 f0.5=0.613 0+357 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
#verbänden -> verbanden; 10                                                        # p=1.000 r=0.534 f0.5=0.851 10+989 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#verbanden -> verbänden; 100                                                       # p=1.000 r=0.100 f0.5=0.357 989+10 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to sample size < 50)
#verbünden -> verbunden; 10000000                                                  # p=0.962 r=0.321 f0.5=0.688 504+784 2020-02-14 f0.1=0.94 FA/10k=0.021 (commented due to precision < 0.99)
verbunden -> verbünden; 10                                                         # p=0.997 r=0.679 f0.5=0.912 784+504 2020-02-14 f0.1=0.99 FA/10k=0.002
verfügt -> verfugt; 100                                                            # p=1.000 r=0.208 f0.5=0.568 933+96 2020-02-14 f0.1=0.96 FA/10k=0.000
verfugt -> verfügt; 1000000                                                        # p=0.990 r=0.327 f0.5=0.704 96+933 2020-02-14 f0.1=0.97 FA/10k=0.001
verführen -> verfuhren; 100                                                        # p=1.000 r=0.493 f0.5=0.829 969+67 2020-02-14 f0.1=0.99 FA/10k=0.000
verfuhren -> verführen; 100                                                        # p=0.998 r=0.835 f0.5=0.960 67+969 2020-02-14 f0.1=1.00 FA/10k=0.000
#verlören -> verloren; 10000000                                                    # p=0.973 r=0.524 f0.5=0.830 80+886 2020-02-14 f0.1=0.96 FA/10k=0.008 (commented due to precision < 0.99)
verträglich -> vertraglich; 1000                                                   # p=0.993 r=0.753 f0.5=0.934 579+929 2020-02-14 f0.1=0.99 FA/10k=0.000
vertraglich -> verträglich; 10000                                                  # p=0.997 r=0.592 f0.5=0.877 929+579 2020-02-14 f0.1=0.99 FA/10k=0.000
verträgliche -> vertragliche; 100000                                               # p=0.996 r=0.715 f0.5=0.924 141+761 2020-02-14 f0.1=0.99 FA/10k=0.000
vertragliche -> verträgliche; 1000                                                 # p=1.000 r=0.411 f0.5=0.777 761+141 2020-02-14 f0.1=0.99 FA/10k=0.000
verträglichen -> vertraglichen; 1000000                                            # p=1.000 r=0.605 f0.5=0.884 97+837 2020-02-14 f0.1=0.99 FA/10k=0.000
vertraglichen -> verträglichen; 100                                                # p=1.000 r=0.258 f0.5=0.635 837+97 2020-02-14 f0.1=0.97 FA/10k=0.000
verträglicher -> vertraglicher; 1000                                               # p=0.994 r=0.706 f0.5=0.919 58+255 2020-02-14 f0.1=0.99 FA/10k=0.000
vertraglicher -> verträglicher; 100                                                # p=1.000 r=0.483 f0.5=0.824 255+58 2020-02-14 f0.1=0.99 FA/10k=0.000
#vorbeifahrt -> vorbeifährt; 10                                                    # p=1.000 r=0.584 f0.5=0.875 0+77 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50)
#weiterfahrt -> weiterfährt; 10                                                    # p=1.000 r=0.962 f0.5=0.992 2+53 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#wägen -> wagen; 10000000                                                          # p=1.000 r=0.188 f0.5=0.537 46+69 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50)
#wagen -> wägen; 10                                                                # p=1.000 r=0.261 f0.5=0.638 69+46 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
wägt -> wagt; 10000                                                                # p=0.995 r=0.469 f0.5=0.813 54+862 2020-02-14 f0.1=0.98 FA/10k=0.000
wagt -> wägt; 1000                                                                 # p=1.000 r=0.148 f0.5=0.465 862+54 2020-02-14 f0.1=0.95 FA/10k=0.000
währen -> wahren; 10000                                                            # p=0.997 r=0.849 f0.5=0.963 122+813 2020-02-14 f0.1=1.00 FA/10k=0.001
wahren -> währen; 100                                                              # p=1.000 r=0.508 f0.5=0.838 813+122 2020-02-14 f0.1=0.99 FA/10k=0.000
#währt -> wahrt; 10000                                                             # p=0.978 r=0.251 f0.5=0.620 493+175 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99)
wahrt -> währt; 1000                                                               # p=1.000 r=0.627 f0.5=0.894 175+493 2020-02-14 f0.1=0.99 FA/10k=0.000
währte -> wahrte; 1000                                                             # p=1.000 r=0.175 f0.5=0.515 981+234 2020-02-14 f0.1=0.96 FA/10k=0.000
wahrte -> währte; 100                                                              # p=0.993 r=0.687 f0.5=0.912 234+981 2020-02-14 f0.1=0.99 FA/10k=0.000
walzen -> wälzen; 100000                                                           # p=1.000 r=0.146 f0.5=0.461 98+89 2020-02-14 f0.1=0.95 FA/10k=0.000
#wärme -> warme; 10                                                                # p=1.000 r=0.828 f0.5=0.960 12+839 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#warme -> wärme; 100                                                               # p=1.000 r=0.250 f0.5=0.625 839+12 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50)
wärmen -> warmen; 100                                                              # p=0.998 r=0.908 f0.5=0.978 151+884 2020-02-14 f0.1=1.00 FA/10k=0.000
warmen -> wärmen; 1000                                                             # p=1.000 r=0.662 f0.5=0.907 884+151 2020-02-14 f0.1=0.99 FA/10k=0.000
wärmer -> warmer; 100                                                              # p=0.995 r=0.636 f0.5=0.894 667+602 2020-02-14 f0.1=0.99 FA/10k=0.000
warmer -> wärmer; 10000                                                            # p=0.998 r=0.676 f0.5=0.911 602+667 2020-02-14 f0.1=0.99 FA/10k=0.000
#wärst -> warst; 100000                                                            # p=0.963 r=0.485 f0.5=0.804 211+747 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99)
warst -> wärst; 100                                                                # p=1.000 r=0.161 f0.5=0.490 747+211 2020-02-14 f0.1=0.95 FA/10k=0.000
#würde -> wurde; 1000000                                                           # p=0.966 r=0.525 f0.5=0.827 767+810 2020-02-14 f0.1=0.96 FA/10k=0.276 (commented due to precision < 0.99)
#wurde -> würde; 10                                                                # p=0.995 r=0.512 f0.5=0.837 810+767 2020-02-14 f0.1=0.99 FA/10k=0.041 (commented due to estimated false alarms rate > 0.025)
wurden -> würden; 10                                                               # p=0.996 r=0.261 f0.5=0.638 864+849 2020-02-14 f0.1=0.97 FA/10k=0.016
wurdest -> würdest; 100000                                                         # p=0.994 r=0.500 f0.5=0.830 64+624 2020-02-14 f0.1=0.98 FA/10k=0.000
#wüsste -> wusste; 10000000                                                        # p=0.968 r=0.183 f0.5=0.521 539+979 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99)
wusste -> wüsste; 100                                                              # p=1.000 r=0.265 f0.5=0.644 979+539 2020-02-14 f0.1=0.97 FA/10k=0.000
#wüssten -> wussten; 100000                                                        # p=0.959 r=0.199 f0.5=0.543 230+951 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99)
wüsstest -> wusstest; 1000000                                                      # p=1.000 r=0.545 f0.5=0.857 72+66 2020-02-14 f0.1=0.99 FA/10k=0.000
wusstest -> wüsstest; 100                                                          # p=1.000 r=0.597 f0.5=0.881 66+72 2020-02-14 f0.1=0.99 FA/10k=0.000
#wüßte -> wußte; 10000                                                             # p=0.961 r=0.527 f0.5=0.825 79+279 2020-02-14 f0.1=0.95 FA/10k=0.007 (commented due to precision < 0.99)
wußte -> wüßte; 1000                                                               # p=1.000 r=0.139 f0.5=0.447 279+79 2020-02-14 f0.1=0.94 FA/10k=0.000
#zwängen -> zwangen; 100                                                           # p=0.981 r=0.573 f0.5=0.859 96+986 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99)
zwangen -> zwängen; 10                                                             # p=1.000 r=0.531 f0.5=0.850 986+96 2020-02-14 f0.1=0.99 FA/10k=0.000
zähle -> zahle; 100                                                                # p=1.000 r=0.193 f0.5=0.544 292+140 2020-02-14 f0.1=0.96 FA/10k=0.000
#zahle -> zähle; 1000                                                              # p=0.962 r=0.264 f0.5=0.629 140+292 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99)
zählen -> zahlen; 1000                                                             # p=1.000 r=0.264 f0.5=0.642 712+91 2020-02-14 f0.1=0.97 FA/10k=0.000
zahlen -> zählen; 1000                                                             # p=1.000 r=0.435 f0.5=0.794 91+712 2020-02-14 f0.1=0.99 FA/10k=0.000
#zählende -> zahlende; 100                                                         # p=0.988 r=0.774 f0.5=0.936 966+523 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99)
zahlende -> zählende; 100                                                          # p=1.000 r=0.588 f0.5=0.877 523+966 2020-02-14 f0.1=0.99 FA/10k=0.000
zählenden -> zahlenden; 1000                                                       # p=0.997 r=0.542 f0.5=0.853 971+554 2020-02-14 f0.1=0.99 FA/10k=0.000
zahlenden -> zählenden; 1000                                                       # p=0.997 r=0.398 f0.5=0.766 554+971 2020-02-14 f0.1=0.98 FA/10k=0.000
zählt -> zahlt; 10                                                                 # p=0.997 r=0.382 f0.5=0.754 833+920 2020-02-14 f0.1=0.98 FA/10k=0.000
#zahlt -> zählt; 1000000                                                           # p=0.958 r=0.217 f0.5=0.570 920+833 2020-02-14 f0.1=0.93 FA/10k=0.005 (commented due to precision < 0.99)
zählte -> zahlte; 10                                                               # p=0.993 r=0.273 f0.5=0.650 654+981 2020-02-14 f0.1=0.97 FA/10k=0.000
zählten -> zahlten; 10                                                             # p=0.993 r=0.291 f0.5=0.669 830+932 2020-02-14 f0.1=0.97 FA/10k=0.000
#zahlten -> zählten; 1000000                                                       # p=0.952 r=0.192 f0.5=0.531 932+830 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99)
zähmen -> zahmen; 10                                                               # p=1.000 r=0.793 f0.5=0.950 202+116 2020-02-14 f0.1=1.00 FA/10k=0.000
zahmen -> zähmen; 100000                                                           # p=1.000 r=0.495 f0.5=0.831 116+202 2020-02-14 f0.1=0.99 FA/10k=0.000
#zögen -> zogen; 10000000                                                          # p=0.977 r=0.356 f0.5=0.724 90+936 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99)
#Ächten -> achten; 100                                                             # p=0.997 r=0.829 f0.5=0.958 4+861 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50)
#ächten -> achten; 1000000                                                         # p=0.972 r=0.447 f0.5=0.787 113+861 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99)
#älter -> alter; 10000                                                             # p=0.955 r=0.563 f0.5=0.838 885+151 2020-02-14 f0.1=0.95 FA/10k=0.007 (commented due to precision < 0.99)
alter -> älter; 100                                                                # p=0.999 r=0.922 f0.5=0.982 151+885 2020-02-14 f0.1=1.00 FA/10k=0.000
ärmer -> armer; 100000                                                             # p=1.000 r=0.706 f0.5=0.923 185+710 2020-02-14 f0.1=1.00 FA/10k=0.000
armer -> ärmer; 100000                                                             # p=1.000 r=0.627 f0.5=0.894 710+185 2020-02-14 f0.1=0.99 FA/10k=0.000
