Statistics of Gender in UD

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This page pertains to UD version 2.

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Treebank Statistics: UD_Spanish-PUD: Features: `Gender`

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

11661 tokens (50%) have a non-empty value of Gender. 4255 types (72%) occur at least once with a non-empty value of Gender. 3457 lemmas (77%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (4717; 20% instances), DET (3331; 14% instances), ADJ (1452; 6% instances), PROPN (709; 3% instances), PRON (613; 3% instances), NUM (430; 2% instances), VERB (394; 2% instances), AUX (15; 0% instances).

`NOUN`

4717 NOUN tokens (98% 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 (3347; 71%).

NOUN tokens may have the following values of Gender:

Fem (1998; 42% of non-empty Gender): guerra, parte, ciudad, vez, personas, historia, región, mayoría, vida, veces
Masc (2719; 58% of non-empty Gender): años, año, lugar, gobierno, estado, millones, día, embargo, mar, mundo
EMPTY (98): internet, arte, Bank, GCA, Ground, News, North, Street, estudiantes, inmigrantes

Paradigm todo	`Masc`	`Fem`
`Number=Sing`	todo
`Number=Plur`	todos	todas

Gender seems to be lexical feature of NOUN. 99% lemmas (1842) occur only with one value of Gender.

`DET`

3331 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: PronType=Art (2985; 90%), Number=Sing (2533; 76%), Definite=Def (2529; 76%).

DET tokens may have the following values of Gender:

Fem (1344; 40% of non-empty Gender): la, las, una, esta, muchas, todas, otra, cada, varias, estas
Masc (1987; 60% of non-empty Gender): el, los, un, este, esto, ese, cada, muchos, eso, estos
EMPTY (8): The, a, That

Paradigm el	`Masc`	`Fem`
`Number=Sing`	el	la
`Number=Plur`	los	las

`ADJ`

1452 ADJ tokens (98% 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 (1014; 70%).

ADJ tokens may have the following values of Gender:

Fem (627; 43% of non-empty Gender): primera, nueva, británica, gran, mayor, segunda, nuevas, americana, nacional, propia
Masc (825; 57% of non-empty Gender): gran, primer, últimos, nuevos, Unidos, grandes, mayor, nacional, Unido, mismo
EMPTY (28): Gran, American, Associated, Golden, Metropolitan, Shaky, Stranger, Talking, Wild, austro

Paradigm nuevo	`Masc`	`Fem`
`Number=Sing`	nuevo	nueva
`Number=Plur`	nuevos, nuevo	nuevas

`PROPN`

709 PROPN tokens (57% 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 (684; 96%).

PROPN tokens may have the following values of Gender:

Fem (173; 24% of non-empty Gender): Clinton, BBC, Kesha, Rona, luna, Blunt, Guinea, Jasmine, UE, Anaya
Masc (536; 76% of non-empty Gender): C., Trump, mediterráneo, EUA, C, Donald, Caribe, Joseph, Rafferty, Andes
EMPTY (544): China, Europa, Hong, Kong, Australia, Italia, Pekín, Albania, Bretaña, España

Paradigm Trump	`Masc`	`Fem`
	Trump	Trump

Gender seems to be lexical feature of PROPN. 99% lemmas (512) occur only with one value of Gender.

`PRON`

613 PRON tokens (59% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Reflex=EMPTY (613; 100%), PrepCase=EMPTY (515; 84%), Case=EMPTY (480; 78%), Number=Sing (466; 76%), Poss=EMPTY (387; 63%), PronType=Prs (362; 59%), Person=3 (361; 59%).

PRON tokens may have the following values of Gender:

Fem (238; 39% of non-empty Gender): su, que, sus, ella, la, cual, cuales, una, Her, las
Masc (375; 61% of non-empty Gender): que, lo, su, sus, ellos, él, cual, los, cuales, ello
EMPTY (426): se, le, me, les, nos, quien, yo, cuál, qué, que

Paradigm él	`Masc`	`Fem`
`Case=Acc,Nom\|Number=Sing\|Person=3`	él, ello	ella
`Case=Acc,Nom\|Number=Plur\|Person=3`	ellos
`Case=Acc\|Number=Sing\|Person=3\|PrepCase=Npr`	lo	la
`Case=Acc\|Number=Plur\|Person=3\|PrepCase=Npr`	los	las
`Number=Plur\|Person=3`	los
`Number=Plur`	los

`NUM`

430 NUM tokens (99% of all NUM tokens) have a non-empty value of Gender.

The most frequent other feature values with which NUM and Gender co-occurred: NumType=Card (430; 100%), NumForm=Digit (313; 73%).

NUM tokens may have the following values of Gender:

Fem (55; 13% of non-empty Gender): dos, tres, 10, 760, cuatro, diez, ocho, 10.000, 12.000, 125
Masc (375; 87% of non-empty Gender): dos, 1, 10, 3, mil, tres, seis, 70, cuatro, 100
EMPTY (5): Cuatro, Dos, Five, Nine

Paradigm dos	`Masc`	`Fem`
	dos	dos

Gender seems to be lexical feature of NUM. 93% lemmas (211) occur only with one value of Gender.

`VERB`

394 VERB tokens (17% of all VERB tokens) have a non-empty value of Gender.

The most frequent other feature values with which VERB and Gender co-occurred: Mood=EMPTY (394; 100%), Person=EMPTY (394; 100%), Tense=Past (383; 97%), VerbForm=Part (383; 97%), Number=Sing (309; 78%).

VERB tokens may have the following values of Gender:

Fem (88; 22% of non-empty Gender): dirigida, consideradas, coprotagonizada, derrotada, destruida, dividida, formada, llamada, localizadas, perdidas
Masc (306; 78% of non-empty Gender): debido, hecho, tenido, dado, dejado, visto, acusado, declarado, desarrollado, dicho
EMPTY (1871): dijo, tiene, es, hacer, hay, hace, tener, está, tienen, ver

Paradigm conocer	`Masc`	`Fem`
`Number=Sing`	conocido	conocida
`Number=Plur`		conocidas

`AUX`

15 AUX tokens (2% of all AUX tokens) have a non-empty value of Gender.

The most frequent other feature values with which AUX and Gender co-occurred: Mood=EMPTY (15; 100%), Number=Sing (15; 100%), Person=EMPTY (15; 100%), Tense=Past (15; 100%), VerbForm=Part (15; 100%).

AUX tokens may have the following values of Gender:

Masc (15; 100% of non-empty Gender): sido, estado
EMPTY (619): es, fue, ha, había, está, era, puede, son, ser, fueron

Relations with Agreement in `Gender`

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (2960; 100%), NOUN –[amod]–> ADJ (1237; 100%), NOUN –[nmod]–> NOUN (638; 50%), NOUN –[det]–> PRON (236; 100%), NOUN –[conj]–> NOUN (167; 64%), NOUN –[nummod]–> NUM (162; 100%), PROPN –[flat:name]–> PROPN (137; 98%), PROPN –[det]–> DET (107; 96%), NOUN –[appos]–> PROPN (91; 64%), NOUN –[acl]–> VERB (85; 83%).

Treebank Statistics: UD_Spanish-PUD: Features: Gender

NOUN

DET

ADJ

PROPN

PRON

NUM

VERB

AUX

Relations with Agreement in Gender