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Treebank Statistics: UD_Latvian-Cairo: Features: Gender

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

64 tokens (38%) have a non-empty value of Gender. 56 types (49%) occur at least once with a non-empty value of Gender. 48 lemmas (47%) occur at least once with a non-empty value of Gender. The feature is used with 6 part-of-speech tags: NOUN (27; 16% instances), PRON (13; 8% instances), PROPN (13; 8% instances), ADJ (5; 3% instances), DET (5; 3% instances), VERB (1; 1% instances).

NOUN

27 NOUN tokens (100% 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=Sing (24; 89%).

NOUN tokens may have the following values of Gender:

• Fem (15; 56% of non-empty Gender): mašīnu, Marija, Meitene, bronzu, draudzenei, dzeršanu, galvaspilsētā, istabu, jausmas, krāsā
• Masc (12; 44% of non-empty Gender): brālis, iemesla, kaimiņi, lietus, logu, matus, sudrabu, tētis, velosipēdu, vīram

Gender seems to be lexical feature of NOUN. 100% lemmas (25) occur only with one value of Gender.

PRON

13 PRON tokens (65% 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=Sing (12; 92%), Person=3 (12; 92%), PronType=Prs (10; 77%), Case=Nom (7; 54%).

PRON tokens may have the following values of Gender:

• Fem (4; 31% of non-empty Gender): viņa, Viņai
• Masc (9; 69% of non-empty Gender): viņš, to, Viņiem, kurš, viņa, viņam
• EMPTY (7): tu, Es, Man, ko

PROPN

13 PROPN tokens (93% 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=Sing (13; 100%).

PROPN tokens may have the following values of Gender:

• Fem (6; 46% of non-empty Gender): Braunu, Džeina, Francijas, Marija, Mariju, Parīzē
• Masc (7; 54% of non-empty Gender): Pētera, Pēteris, Pēteri, Sem, Smitu
• EMPTY (1): Igvasu

ADJ

5 ADJ tokens (100% 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=Sing (5; 100%), Case=Nom (4; 80%), Definite=Ind (4; 80%), Degree=Pos (4; 80%).

ADJ tokens may have the following values of Gender:

• Fem (3; 60% of non-empty Gender): liela, maza, sarkanā
• Masc (2; 40% of non-empty Gender): foršāks, tavējais

DET

5 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: Number=Sing (5; 100%), Person=EMPTY (4; 80%), Poss=Yes (3; 60%), PronType=Prs (3; 60%).

DET tokens may have the following values of Gender:

• Fem (2; 40% of non-empty Gender): savai, Šī
• Masc (3; 60% of non-empty Gender): Mans, kāda, savam

VERB

1 VERB tokens (3% of all VERB tokens) have a non-empty value of Gender.

The most frequent other feature values with which VERB and Gender co-occurred: Evident=EMPTY (1; 100%), Mood=EMPTY (1; 100%), Number=Sing (1; 100%), Person=EMPTY (1; 100%), Polarity=Pos (1; 100%), Reflex=EMPTY (1; 100%), Tense=Past (1; 100%), VerbForm=Part (1; 100%), Voice=Pass (1; 100%).

VERB tokens may have the following values of Gender:

• Fem (1; 100% of non-empty Gender): piegādāta
• EMPTY (31): uzrakstīja, Nevarēja, apgriezt, apskāvās, atmest, atnākt, atstāja, atver, centās, domā

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (5; 100%), NOUN –[amod]–> ADJ (2; 100%), NOUN –[nmod]–> PROPN (2; 100%), PROPN –[flat:name]–> PROPN (2; 100%), ADJ –[conj]–> ADJ (1; 100%), ADJ –[nsubj]–> NOUN (1; 100%), ADJ –[obl]–> ADJ (1; 100%), NOUN –[conj]–> NOUN (1; 100%), NOUN –[det]–> PRON (1; 100%), NOUN –[orphan]–> NOUN (1; 100%).

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