Statistics of Gender in UD

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This page pertains to UD version 2.

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

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

204131 tokens (36%) have a non-empty value of Gender. 17341 types (45%) occur at least once with a non-empty value of Gender. 11608 lemmas (45%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (89250; 16% instances), DET (78760; 14% instances), ADJ (24709; 4% instances), PRON (5858; 1% instances), VERB (4775; 1% instances), AUX (480; 0% instances), NUM (290; 0% instances), PROPN (9; 0% instances).

`NOUN`

89250 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=Sing (62388; 70%).

NOUN tokens may have the following values of Gender:

Fem (41348; 46% of non-empty Gender): pesetas, personas, parte, vida, situación, vez, forma, elecciones, empresa, decisión
Masc (47902; 54% of non-empty Gender): años, gobierno, presidente, millones, equipo, partido, país, año, ministro, mundo
EMPTY (11778): parte, frente, portavoz, líder, respecto, vez, pese, policía, año, partir

Paradigm candidato	`Masc`	`Fem`
`Number=Sing`	candidato
`Number=Plur`	candidatos	CANDIDATAS

Gender seems to be lexical feature of NOUN. 99% lemmas (7755) occur only with one value of Gender.

`DET`

78760 DET tokens (93% 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 (71584; 91%), Number=Sing (62068; 79%), Definite=Def (62012; 79%).

DET tokens may have the following values of Gender:

Fem (32385; 41% of non-empty Gender): la, las, una, esta, esa, todas, estas, otras, toda, otra
Masc (46375; 59% of non-empty Gender): el, los, un, este, todo, ese, todos, otros, estos, unos
EMPTY (5674): su, sus, cada, mi, cualquier, qué, tal, mis, diferentes, tu

Paradigm el	`Masc`	`Fem`
`Definite=Def\|ExtPos=ADV\|Number=Sing\|PronType=Art`		la
`Definite=Def\|ExtPos=SCONJ\|Number=Sing\|PronType=Art`	el
`Definite=Def\|Foreign=Yes\|Number=Sing\|PronType=Art`		la
`Definite=Def\|Foreign=Yes\|Number=Plur\|PronType=Art`	les	les
`Definite=Def\|Number=Sing\|PronType=Art`	el	la
`Definite=Def\|Number=Plur\|PronType=Art`	los, els	las
`Number=Sing\|PronType=Dem`	el	la
`Number=Plur\|PronType=Dem`	los	las

`ADJ`

24709 ADJ tokens (67% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: VerbForm=EMPTY (18129; 73%), Number=Sing (17769; 72%).

ADJ tokens may have the following values of Gender:

Fem (10307; 42% of non-empty Gender): primera, nueva, segunda, política, española, última, nuevas, única, buena, pública
Masc (14402; 58% of non-empty Gender): pasado, primer, nuevo, próximo, últimos, español, segundo, último, San, único
EMPTY (12164): gran, mayor, mejor, general, ex, posible, grandes, social, actual, electoral

Paradigm primero	`Masc`	`Fem`
`Number=Sing`	primer, primero	primera
`Number=Plur`	primeros	primeras

`PRON`

5858 PRON tokens (23% 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 (5857; 100%), Number=Sing (4408; 75%), Person=3 (3444; 59%), PronType=Prs (3344; 57%), PrepCase=EMPTY (3222; 55%).

PRON tokens may have the following values of Gender:

Fem (1191; 20% of non-empty Gender): la, una, ella, las, ellas, otra, ésta, unas, otras, algunas
Masc (4667; 80% of non-empty Gender): lo, uno, todo, él, ellos, ello, unos, los, otros, todos
EMPTY (19449): que, se, le, me, nos, quien, les, eso, nada, qué

Paradigm él	`Masc`	`Fem`
`Case=Acc,Nom\|Number=Sing\|PronType=Prs`	él, ello	ella
`Case=Acc,Nom\|Number=Plur\|PronType=Prs`	ellos	ellas
`Case=Acc\|Definite=Def\|Number=Sing\|PrepCase=Npr\|PronType=Prs`	lo
`Case=Acc\|Definite=Ind\|Number=Sing\|PrepCase=Npr\|PronType=Prs`	LO
`Case=Acc\|ExtPos=ADV\|Number=Sing\|PrepCase=Npr\|PronType=Prs`	lo
`Case=Acc\|ExtPos=CCONJ\|Number=Sing\|PrepCase=Npr\|PronType=Prs`	lo
`Case=Acc\|Number=Sing\|PrepCase=Npr\|PronType=Dem`	lo
`Case=Acc\|Number=Sing\|PrepCase=Npr\|PronType=Prs`	lo	la
`Case=Acc\|Number=Plur\|PrepCase=Npr\|PronType=Prs`	los	las
`Case=Nom\|Number=Sing\|PronType=Prs`		Ella

`VERB`

4775 VERB tokens (10% 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 (4774; 100%), Person=EMPTY (4774; 100%), VerbForm=Part (4774; 100%), Tense=Past (4772; 100%), Number=Sing (4455; 93%).

VERB tokens may have the following values of Gender:

Fem (333; 7% of non-empty Gender): aprobada, considerada, dada, utilizada, comprada, dadas, incluida, rechazada, recibida, violada
Masc (4442; 93% of non-empty Gender): hecho, dado, tenido, visto, conseguido, pasado, ganado, llegado, perdido, logrado
EMPTY (43406): tiene, dijo, hay, hace, hacer, tienen, aseguró, dar, explicó, tener

Paradigm hacer	`Masc`	`Fem`
`Number=Sing`	hecho	hecha
`Number=Plur`	hechos

`AUX`

480 AUX tokens (4% 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 (480; 100%), Number=Sing (480; 100%), Person=EMPTY (480; 100%), Tense=Past (480; 100%), VerbForm=Part (480; 100%).

AUX tokens may have the following values of Gender:

Masc (480; 100% of non-empty Gender): sido, podido, estado, debido
EMPTY (13091): es, ha, han, fue, ser, son, está, puede, había, era

`NUM`

290 NUM tokens (3% 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 (290; 100%), NumForm=Word (289; 100%), Number=Plur (176; 61%).

NUM tokens may have the following values of Gender:

Fem (93; 32% of non-empty Gender): ambas, media, una, DECENAS, quinientas
Masc (197; 68% of non-empty Gender): ambos, medio, un, doscientos, uno, miles, quinientos, dois, euros, ochenta
EMPTY (8885): dos, ciento, tres, cinco, cuatro, seis, 20, 30, siete, 10

Paradigm ambos	`Masc`	`Fem`
	ambos	ambas

`PROPN`

9 PROPN tokens (0% of all PROPN tokens) have a non-empty value of Gender.

PROPN tokens may have the following values of Gender:

Fem (2; 22% of non-empty Gender): Cuba, Lletres
Masc (7; 78% of non-empty Gender): Santos
EMPTY (41316): España, Madrid, Barcelona, José, Estado, PP, Juan, Nacional, Estados, Aznar

Relations with Agreement in `Gender`

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (58636; 86%), NOUN –[amod]–> ADJ (17026; 63%), NOUN –[conj]–> NOUN (2535; 54%), NOUN –[appos]–> NOUN (928; 51%), ADJ –[det]–> DET (732; 66%), ADJ –[nsubj]–> NOUN (613; 57%), ADJ –[conj]–> ADJ (570; 56%), PRON –[nmod]–> NOUN (444; 73%), NOUN –[nmod]–> DET (189; 94%), ADJ –[det]–> PRON (167; 63%).

Treebank Statistics: UD_Spanish-AnCora: Features: Gender

NOUN

DET

ADJ

PRON

VERB

AUX

NUM

PROPN

Relations with Agreement in Gender