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Treebank Statistics: UD_Spanish-AnCora: Features: Gender

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

202799 tokens (36%) have a non-empty value of Gender. 17312 types (45%) occur at least once with a non-empty value of Gender. 11621 lemmas (45%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (88482; 16% instances), DET (78759; 14% instances), ADJ (24227; 4% instances), PRON (5804; 1% instances), VERB (4754; 1% instances), AUX (481; 0% instances), NUM (290; 0% instances), PROPN (2; 0% instances).

NOUN

88482 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 (61626; 70%).

NOUN tokens may have the following values of Gender:

• Fem (41292; 47% of non-empty Gender): pesetas, personas, parte, vida, situación, vez, forma, elecciones, empresa, decisión
• Masc (47190; 53% of non-empty Gender): años, presidente, millones, equipo, partido, país, año, ministro, mundo, grupo
• EMPTY (12053): 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 (7756) occur only with one value of Gender.

DET

78759 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 (72091; 92%), Definite=Def (62512; 79%), Number=Sing (62068; 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 (46374; 59% of non-empty Gender): el, los, un, este, todo, ese, todos, otros, estos, unos
• EMPTY (5672): su, sus, cada, mi, cualquier, qué, tal, mis, diferentes, tu

Paradigm el	Masc	Fem
Foreign=Yes|Number=Sing		la
Foreign=Yes|Number=Plur	les	les
Number=Sing	el	la
Number=Plur	los, els	las

ADJ

24227 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 (17726; 73%), Number=Sing (17367; 72%).

ADJ tokens may have the following values of Gender:

• Fem (10124; 42% of non-empty Gender): primera, nueva, segunda, política, española, última, nuevas, única, buena, pública
• Masc (14103; 58% of non-empty Gender): pasado, primer, nuevo, próximo, últimos, español, segundo, último, único, político
• EMPTY (12200): gran, mayor, mejor, general, posible, ex, grandes, actual, electoral, internacional

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

PRON

5804 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 (5803; 100%), Number=Sing (4355; 75%), PronType=Prs (3553; 61%), Person=3 (3444; 59%), PrepCase=EMPTY (3168; 55%).

PRON tokens may have the following values of Gender:

• Fem (1191; 21% of non-empty Gender): la, una, ella, las, ellas, otra, ésta, unas, otras, algunas
• Masc (4613; 79% of non-empty Gender): lo, uno, todo, él, ellos, ello, unos, los, otros, todos
• EMPTY (19380): que, se, le, me, nos, quien, les, eso, nada, qué

Paradigm él	Masc	Fem
Case=Acc,Nom|Number=Sing	él, ello	ella
Case=Acc,Nom|Number=Plur	ellos	ellas
Case=Acc|Definite=Def|Number=Sing|PrepCase=Npr	lo
Case=Acc|Definite=Ind|Number=Sing|PrepCase=Npr	LO
Case=Acc|Number=Sing|PrepCase=Npr	lo	la
Case=Acc|Number=Plur|PrepCase=Npr	los	las
Case=Nom|Number=Sing		Ella

VERB

4754 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 (4753; 100%), Person=EMPTY (4753; 100%), Tense=Past (4753; 100%), VerbForm=Part (4753; 100%), Number=Sing (4434; 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 (4421; 93% of non-empty Gender): hecho, tenido, dado, visto, conseguido, pasado, ganado, llegado, perdido, logrado
• EMPTY (43432): tiene, dijo, hay, hace, hacer, tienen, aseguró, dar, explicó, tener

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

AUX

481 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 (481; 100%), Number=Sing (481; 100%), Person=EMPTY (481; 100%), Tense=Past (480; 100%), VerbForm=Part (480; 100%).

AUX tokens may have the following values of Gender:

• Masc (481; 100% of non-empty Gender): sido, podido, estado, debido, ser
• EMPTY (13084): 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 (8884): dos, ciento, tres, cinco, cuatro, seis, 20, 30, siete, 10

Paradigm ambos	Masc	Fem
	ambos	ambas

PROPN

2 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; 100% of non-empty Gender): Cuba, Lletres
• EMPTY (42388): Gobierno, España, Madrid, Barcelona, José, Estado, PP, Juan, Nacional, Estados

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (57022; 85%), NOUN –[amod]–> ADJ (16842; 63%), NOUN –[conj]–> NOUN (2526; 54%), DET –[det]–> DET (1041; 85%), NOUN –[appos]–> NOUN (928; 51%), ADJ –[det]–> DET (688; 63%), ADJ –[nsubj]–> NOUN (599; 57%), ADJ –[conj]–> ADJ (569; 55%), PRON –[nmod]–> NOUN (439; 74%), ADJ –[det]–> PRON (159; 62%).

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