home edit page issue tracker

Treebank Statistics: UD_Hausa-WesternAutogramm: Features: Gender

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

4877 tokens (35%) have a non-empty value of Gender. 922 types (56%) occur at least once with a non-empty value of Gender. 664 lemmas (59%) occur at least once with a non-empty value of Gender. The feature is used with 9 part-of-speech tags: NOUN (2206; 16% instances), AUX (1479; 11% instances), PRON (606; 4% instances), VERB (435; 3% instances), DET (71; 1% instances), ADP (42; 0% instances), ADJ (28; 0% instances), PROPN (8; 0% instances), NUM (2; 0% instances).

NOUN

2206 NOUN tokens (88% 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 (2166; 98%), Definite=Ind (1579; 72%).

NOUN tokens may have the following values of Gender:

• Fem (748; 34% of non-empty Gender): bùdurwaː, màccè, s’oːhuwaː, dàudawaː, màːtam, màːtaːtai, jìkintà, hiːr̃a, kwalbaː, dùbaːr̃àː
• Masc (1458; 66% of non-empty Gender): mùtun, sarkiː, maːlàm, maːlàmiː, maːgàniː, gidaː, maːgànîn, ƙarhèː, gàːriː, doːkìː
• EMPTY (314): maːtaː, ruwaː, zuːgàl, sàmàːriː, bìkiː, hannuwàː, ruwan, ɗiyan, hannuː, mutàːneː

Paradigm jiːkàː	Masc	Fem
	jiːkàn	jiːkàw

Gender seems to be lexical feature of NOUN. 99% lemmas (483) occur only with one value of Gender.

AUX

1479 AUX tokens (60% 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=EMPTY (1435; 97%), Person=3 (1287; 87%).

AUX tokens may have the following values of Gender:

• Fem (485; 33% of non-empty Gender): tà, taː, tac, bâːta, tanàː, taz, tat, bàtà, tag, tay
• Masc (994; 67% of non-empty Gender): shì, yaː, yac, bâːshi, shinàː, yat, neː, yay, kà, yab
• EMPTY (997): à, ankà, sù, sunkà, an, sunàː, akà, anàː, kà, nàː

PRON

606 PRON tokens (73% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Number=EMPTY (604; 100%), PronType=EMPTY (546; 90%), Person=3 (492; 81%).

PRON tokens may have the following values of Gender:

• Fem (280; 46% of non-empty Gender): ita, ta, tà, mutà, waddà, kì, matà, mikì, naːtà, wancè
• Masc (326; 54% of non-empty Gender): shiː, shi, wandà, shì, mai, kai, kà, makà, wani, taːshì
• EMPTY (227): suː, su, indà, koːwaː, wa’àndà, sù, koːmiː, wandà, mun, musù

Paradigm wandà	Masc	Fem
	wandà	wandà

Gender seems to be lexical feature of PRON. 90% lemmas (28) occur only with one value of Gender.

VERB

435 VERB tokens (18% of all VERB tokens) have a non-empty value of Gender.

The most frequent other feature values with which VERB and Gender co-occurred: ExtPos=NOUN (422; 97%).

VERB tokens may have the following values of Gender:

• Fem (118; 27% of non-empty Gender): tàhiyàː, ràbuwaː, shìgaː, bugàːwaː, huːdèːwaː, tàhiyàttà, yìwuwaː, ɗiːbàm, cêːwaː, ɗiːbàttà
• Masc (317; 73% of non-empty Gender): kwaːnaː, sôː, yîn, yîː, sôn, tàhiyàːtai, sôːnai, zuwàː, cîː, kiràn
• EMPTY (1999): yi, cêː, ajèː, zoː, tàhi, sâː, sàːmu, baː, ci, kai

Paradigm yi	Masc	Fem
Definite=Cons	yîn, yîm
	yîː	yôwwaː

Gender seems to be lexical feature of VERB. 94% lemmas (113) occur only with one value of Gender.

DET

71 DET tokens (35% 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 (52; 73%), PronType=EMPTY (52; 73%), Definite=EMPTY (39; 55%).

DET tokens may have the following values of Gender:

• Fem (20; 28% of non-empty Gender): wata, koːwacè, koːwàcè, wani
• Masc (51; 72% of non-empty Gender): wani, wânnam, koːdàwane, wânga, wânnan, wannàn
• EMPTY (130): nan, wa’ànnan, du’, ga, wasu, dum, du’, duk, dul, duw

Paradigm wani	Masc	Fem
_		wata
Definite=Spec	wani	wani

ADP

42 ADP tokens (6% of all ADP tokens) have a non-empty value of Gender.

ADP tokens may have the following values of Gender:

• Fem (4; 10% of non-empty Gender): s’àkaːnintà, wajentà, wurinkì, wurintà
• Masc (38; 90% of non-empty Gender): mài, gàr̃ai, wuriːnai, s’akaːninkà, wurinkà
• EMPTY (708): dà, cikin, gà, na, mà, wurin, wurim, sai, cikim, bisà

ADJ

28 ADJ tokens (46% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: Number=EMPTY (28; 100%), Definite=EMPTY (15; 54%).

ADJ tokens may have the following values of Gender:

• Fem (14; 50% of non-empty Gender): ‘yaƙ, màccè, kwikwiyàː, ƙaramaː, ƙàramaː, ’yak, ’yam, hwarab, hwaram, màccên
• Masc (14; 50% of non-empty Gender): ɗanyen, baƙiː, hwarin, hwariː, jàː, mùlmùlalleː, saːboː, ɗanyeː, bàbbam, saːbon
• EMPTY (33): ’yam, sauran, ɗai, hwarhwarun, mayyaː, ƙanaːnàː, hwarhwaruː, jàd, kaɗai, saːbiː

Gender seems to be lexical feature of ADJ. 100% lemmas (16) occur only with one value of Gender.

PROPN

8 PROPN tokens (25% of all PROPN tokens) have a non-empty value of Gender.

The most frequent other feature values with which PROPN and Gender co-occurred: Number=EMPTY (8; 100%).

PROPN tokens may have the following values of Gender:

• Masc (8; 100% of non-empty Gender): bàhillaːcèː, ùbangijìː, bàhillaːcèn
• EMPTY (24): allàː, hillàːniː, hàusàːwaː, abzinaːwaː, abzìn, bar̃ar̃oːjì, buːzàːyeː, bàhaushèː, kac’inaːwan, kyakkyataːwaː

NUM

2 NUM tokens (4% of all NUM tokens) have a non-empty value of Gender.

NUM tokens may have the following values of Gender:

• Fem (1; 50% of non-empty Gender): dubuː
• Masc (1; 50% of non-empty Gender): ɗàrîn
• EMPTY (44): gùdaː, biyu, tar̃à, bakwài, ɗàriː, huɗu, shâː, ɗaya, biyun, goːmà

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[nmod]–> NOUN (169; 51%), PRON –[appos]–> NOUN (58; 87%), VERB –[nmod]–> NOUN (55; 51%), NOUN –[amod]–> ADJ (17; 77%), NOUN –[appos]–> NOUN (14; 70%), NOUN –[reparandum]–> NOUN (13; 76%), NOUN –[appos]–> PRON (10; 91%), NOUN –[nmod]–> VERB (10; 53%), NOUN –[acl:relcl]–> NOUN (8; 89%), NOUN –[parataxis]–> NOUN (8; 67%).

© 2014–2024 Universal Dependencies contributors. Site powered by Annodoc and brat

.