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Treebank Statistics: UD_Beja-Autogramm: Features: Gender

This feature is universal. It occurs with 2 different values: Fem, Masc.

4528 tokens (38%) have a non-empty value of Gender. 935 types (49%) occur at least once with a non-empty value of Gender. 1 lemmas (0) occur at least once with a non-empty value of Gender. The feature is used with 10 part-of-speech tags: DET (1732; 14% instances), NOUN (1395; 12% instances), VERB (1063; 9% instances), SCONJ (160; 1% instances), PRON (109; 1% instances), AUX (59; 0% instances), INTJ (5; 0% instances), ADJ (3; 0% instances), NUM (1; 0% instances), PART (1; 0% instances).

DET

1732 DET tokens (100% of all DET tokens) have a non-empty value of Gender.

The most frequent other feature values with which DET and Gender co-occurred: Deixis=EMPTY (1453; 84%), PronType=EMPTY (1449; 84%), Definite=Def (1007; 58%), Case=EMPTY (999; 58%), Number=EMPTY (929; 54%).

DET tokens may have the following values of Gender:

• Fem (696; 40% of non-empty Gender): =t, ti=, t=, toː=, tuː=, oːt, eːt, toːt, teː=, tuːt
• Masc (1036; 60% of non-empty Gender): i=, oː=, w=, uː=, oːn, uːn, j=, =b, eːn, aː=
• EMPTY (4): -a, -aː, =eː, mhasi

NOUN

1395 NOUN tokens (81% of all NOUN tokens) have a non-empty value of Gender.

The most frequent other feature values with which NOUN and Gender co-occurred: Number=EMPTY (1163; 83%).

NOUN tokens may have the following values of Gender:

• Fem (441; 32% of non-empty Gender): naː, lhaweː, na, takat, giɖʔa, sala, mʔari, ʃiha, ʔabaː, ʔaba
• Masc (954; 68% of non-empty Gender): tak, doːr, mhiːn, jhaːm, mijʔat, dhaj, kʷiːkʷʔaːj, gaw, haˈwaːd, ʔar
• EMPTY (324): kaːm, ʔar, ʔoːr, meːk, tʔiit, =na, =naː, na, kam, ʔaraːw

VERB

1063 VERB tokens (44% of all VERB tokens) have a non-empty value of Gender.

The most frequent other feature values with which VERB and Gender co-occurred: Person=EMPTY (1037; 98%), Number=Sing (939; 88%), VerbClass=1 (676; 64%).

VERB tokens may have the following values of Gender:

• Fem (247; 23% of non-empty Gender): tindi, tini, tidi, tiːd, tiːfi, akai, ʔeːta, tikati, ʔeːti, ʔabkin
• Masc (816; 77% of non-empty Gender): indi, ini, jʔi, iːfi, iːbri, ikati, jʔiːni, id, isni, iːkti
• EMPTY (1347): eːn, jʔeːn, jʔeːtiːt, akeːna, diːtiːt, ani, diːt, rhan, akajeː, difeː

SCONJ

160 SCONJ tokens (27% of all SCONJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which SCONJ and Gender co-occurred: PronType=Rel (123; 77%).

SCONJ tokens may have the following values of Gender:

• Fem (56; 35% of non-empty Gender): =eːt, =jeːt, =t, ti=, t=
• Masc (104; 65% of non-empty Gender): =eːb, =jeːb, =b, ji=, wi=
• EMPTY (434): =hoːb, =ajt, =eːk, =aj, =it, =jeːk, =eː, =i, =jeː, =ji

PRON

109 PRON tokens (13% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Poss=EMPTY (102; 94%), Number=Sing (65; 60%), Person=EMPTY (56; 51%).

PRON tokens may have the following values of Gender:

• Fem (28; 26% of non-empty Gender): ti=, -t, t=, ambataː, =oːki, imbateː, ombatoː
• Masc (81; 74% of non-empty Gender): wi=, baruːk, umbaruːk, i=, w=, baroːk, baruː, baraː, barhi, barijoːk
• EMPTY (710): =heːb, =i, =oː, =eː, ani, =hoːk, kna, =oːk, =oːn, aneːb

AUX

59 AUX tokens (21% of all AUX tokens) have a non-empty value of Gender.

The most frequent other feature values with which AUX and Gender co-occurred: Number=Sing (58; 98%), Person=EMPTY (51; 86%), VerbType=EMPTY (49; 83%).

AUX tokens may have the following values of Gender:

• Fem (8; 14% of non-empty Gender): tiki, taki, tidʔi, tindi, tirib, tiːha, tki
• Masc (51; 86% of non-empty Gender): =wa, iki, ihi, indi, hijaː, irib, iːkti, dʔijaːb, idi, ini
• EMPTY (225): =u, =i, =a, andi, akajeː, aki, nijad, dannʔi, ijajna, adi

INTJ

5 INTJ tokens (8% of all INTJ tokens) have a non-empty value of Gender.

INTJ tokens may have the following values of Gender:

• Masc (5; 100% of non-empty Gender): jhaː
• EMPTY (61): iraːnaj, əəə, ahaː, mmm, iraːni, jaːbi, hawawawawa, jhaː, mmmmm, nʔalla

ADJ

3 ADJ tokens (2% of all ADJ tokens) have a non-empty value of Gender.

ADJ tokens may have the following values of Gender:

• Fem (1; 33% of non-empty Gender): kʷaɖaːɖat
• Masc (2; 67% of non-empty Gender): nifri, sasuːbajaːb
• EMPTY (146): daːji, kass, malia, sagi, daːwri, koː, dabal, daːjiː, raw, hadal

NUM

1 NUM tokens (2% of all NUM tokens) have a non-empty value of Gender.

NUM tokens may have the following values of Gender:

• Fem (1; 100% of non-empty Gender): gaːt
• EMPTY (58): mhaj, gaːl, mhall, alif, asarama, gali, mhali, gaːt, awwal, faɖig

PART

1 PART tokens (0% of all PART tokens) have a non-empty value of Gender.

The most frequent other feature values with which PART and Gender co-occurred: Aspect=EMPTY (1; 100%), Mood=EMPTY (1; 100%), Polarity=EMPTY (1; 100%).

PART tokens may have the following values of Gender:

• Masc (1; 100% of non-empty Gender): ʔaʃaj
• EMPTY (320): bak, ka=, han, ontʔa, ki=, baː=, bi=, jaː, bass, tʔa

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (1201; 82%), NOUN –[acl:relcl]–> SCONJ (110; 74%), VERB –[dislocated:subj]–> NOUN (15; 60%), AUX –[compound:svc]–> VERB (7; 100%), SCONJ –[fixed]–> DET (6; 100%), NOUN –[discourse]–> DET (3; 60%), VERB –[dep:redup]–> VERB (3; 100%), VERB –[dep]–> PRON (3; 60%), VERB –[dislocated:subj]–> PRON (3; 75%), PART –[det]–> DET (2; 67%).

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