Treebank Statistics: UD_Spanish-GSD: Features: Gender
This feature is universal.
It occurs with 2 different values: Fem
, Masc
.
158444 tokens (37%) have a non-empty value of Gender
.
20673 types (45%) occur at least once with a non-empty value of Gender
.
14603 lemmas (41%) occur at least once with a non-empty value of Gender
.
The feature is used with 10 part-of-speech tags: NOUN (70433; 16% instances), DET (56081; 13% instances), ADJ (15415; 4% instances), VERB (7456; 2% instances), PRON (4449; 1% instances), PROPN (3417; 1% instances), X (525; 0% instances), AUX (337; 0% instances), NUM (209; 0% instances), SYM (122; 0% instances).
NOUN
70433 NOUN tokens (91% 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 (50613; 72%).
NOUN
tokens may have the following values of Gender
:
Fem
(32925; 47% of non-emptyGender
): parte, población, ciudad, personas, familia, vez, forma, vida, agua, regiónMasc
(37508; 53% of non-emptyGender
): años, año, municipio, nombre, lugar, equipo, tiempo, estado, grupo, paísEMPTY
(7142): habitantes, km, Estado, base, euros, frente, Gobierno, Oficina, mar, arte
Paradigm parte | Masc | Fem |
---|---|---|
Number=Sing | parte | parte |
Number=Plur | partes |
Gender
seems to be lexical feature of NOUN
. 97% lemmas (8768) occur only with one value of Gender
.
DET
56081 DET tokens (92% 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 (51185; 91%), Number=Sing (44656; 80%), Definite=Def (43529; 78%).
DET
tokens may have the following values of Gender
:
Fem
(23946; 43% of non-emptyGender
): la, las, una, esta, otras, toda, estas, esa, todas, otraMasc
(32135; 57% of non-emptyGender
): el, los, un, este, otros, ese, estos, todo, todos, unosEMPTY
(4805): su, sus, cada, cualquier, mi, the, tu, qué, mis, a
Paradigm el | Masc | Fem |
---|---|---|
Definite=Def|Number=Sing | el | la, l' |
Definite=Def|Number=Sing|Typo=Yes | al, en | a, al |
Definite=Def|Number=Plur | los | las |
Number=Sing|Typo=Yes | al, en | a |
ADJ
15415 ADJ tokens (62% 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 (10980; 71%).
ADJ
tokens may have the following values of Gender
:
Fem
(6731; 44% of non-emptyGender
): primera, nueva, segunda, buena, francesa, misma, alta, pequeña, propia, nuevasMasc
(8684; 56% of non-emptyGender
): primer, mismo, nuevo, junto, segundo, español, buen, propio, primeros, únicoEMPTY
(9571): gran, mayor, estadounidense, mejor, total, nacional, grandes, principal, importante, diferentes
Paradigm primero | Masc | Fem |
---|---|---|
Number=Sing | primer, primero | primera |
Number=Sing|NumType=Ord | primer, primero | primera |
Number=Plur | primeros | primeras |
Number=Plur|NumType=Ord | primeros | primeras |
VERB
7456 VERB tokens (21% 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 (7456; 100%), Person=EMPTY (7454; 100%), VerbForm=Part (6788; 91%), Number=Sing (5994; 80%), Tense=EMPTY (4378; 59%).
VERB
tokens may have the following values of Gender
:
Fem
(2275; 31% of non-emptyGender
): situada, conocida, ubicada, llamada, dirigida, fundada, publicada, realizada, construida, creadaMasc
(5181; 69% of non-emptyGender
): ubicado, conocido, debido, llamado, hecho, nacido, dado, compuesto, tenido, lanzadoEMPTY
(28913): tiene, es, encuentra, hay, hacer, hace, tenía, tienen, era, fue
Paradigm tener | Masc | Fem |
---|---|---|
Number=Sing|Tense=Past|VerbForm=Part | tenido | |
Number=Sing|VerbForm=Fin | tengo, tuvo | |
Number=Plur|Tense=Past|VerbForm=Part | tenidos | tenidas |
Number=Plur|VerbForm=Fin | tienes | |
VerbForm=Fin | tenéis |
PRON
4449 PRON tokens (32% 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 (4444; 100%), Number=Sing (3343; 75%), PronType=Prs (2878; 65%), Person=3 (2815; 63%), PrepCase=EMPTY (2270; 51%).
PRON
tokens may have the following values of Gender
:
Fem
(1171; 26% of non-emptyGender
): la, una, ella, las, ellas, esta, otra, otras, ésta, muchasMasc
(3278; 74% of non-emptyGender
): lo, uno, los, él, todo, ellos, ello, este, otros, otroEMPTY
(9574): se, que, le, me, cual, nos, quien, esto, les, te
Paradigm él | Masc | Fem |
---|---|---|
Case=Acc,Nom|Number=Sing | él, ello | ella |
Case=Acc,Nom|Number=Plur | ellos | ellas |
Case=Acc|Number=Sing|PrepCase=Npr | lo | la |
Case=Acc|Number=Plur|PrepCase=Npr | los | las |
Case=Dat|Number=Sing|PrepCase=Npr|Typo=Yes | la | |
Case=Nom|Number=Sing | él |
PROPN
3417 PROPN tokens (9% 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 (2934; 86%).
PROPN
tokens may have the following values of Gender
:
Fem
(944; 28% of non-emptyGender
): guerra, Europea, Ruta, Isla, española, TV, Aérea, batalla, universidad, CienciasMasc
(2473; 72% of non-emptyGender
): Unidos, Estados, Partido, censo, José, of, Club, Diego, País, ríoEMPTY
(35833): san, España, Estados, Unidos, madrid, Juan, septiembre, julio, enero, José
Paradigm the | Masc | Fem |
---|---|---|
the | the |
Gender
seems to be lexical feature of PROPN
. 99% lemmas (2022) occur only with one value of Gender
.
X
525 X tokens (28% of all X
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which X
and Gender
co-occurred: Number=Sing (419; 80%).
X
tokens may have the following values of Gender
:
Fem
(110; 21% of non-emptyGender
): ’s, C, B, cápita, i, pre, semi, ta, C., highMasc
(415; 79% of non-emptyGender
): mm, msnm, ‘s, etc., n., of, co, cis, parking, toEMPTY
(1361): ex, hab, ya, ‘s, C, etc., x, C., and, d
Paradigm 's | Masc | Fem |
---|---|---|
_ | 's | 's |
Number=Sing | 's | 's |
Number=Sing|Person=3 | 's |
Gender
seems to be lexical feature of X
. 96% lemmas (376) occur only with one value of Gender
.
AUX
337 AUX tokens (3% 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 (337; 100%), Person=EMPTY (336; 100%), Number=Sing (331; 98%), VerbForm=Part (268; 80%), Tense=Past (267; 79%).
AUX
tokens may have the following values of Gender
:
Fem
(39; 12% of non-emptyGender
): esta, estoy, pudieras, estarías, estas, hasMasc
(298; 88% of non-emptyGender
): sido, estado, ser, podido, este, poder, estar, deber, debido, haberEMPTY
(10399): es, fue, ha, son, ser, eran, era, han, está, puede
Paradigm haber | Masc | Fem |
---|---|---|
Number=Sing | haber, han | |
Number=Plur|Person=3 | has | |
habéis |
NUM
209 NUM tokens (2% 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 (209; 100%), Number=Sing (177; 85%).
NUM
tokens may have the following values of Gender
:
Fem
(75; 36% of non-emptyGender
): una, media, II, pocas, I, IV, XI, ocho, setenta, 2008-09Masc
(134; 64% of non-emptyGender
): un, uno, ciento, II, medio, cero, millones, V, VIII, XXEMPTY
(10852): dos, tres, 2010, 0, 3, cuatro, 1, 2, 10, 4
Paradigm uno | Masc | Fem |
---|---|---|
un, uno | una |
SYM
122 SYM tokens (7% of all SYM
tokens) have a non-empty value of Gender
.
SYM
tokens may have the following values of Gender
:
Fem
(36; 30% of non-emptyGender
): h, $, &, m, €, +, http://redsismica.uprm.edu/spanish/informacion/terr1918.php, http://www.rumbo.es/disney/Masc
(86; 70% of non-emptyGender
): km, cm, $, &, m, #, º, mundo.com, www.delnuevo, www.dgt.esEMPTY
(1541): %, ², km, º, $, °, €, a, ª, /
Paradigm $ | Masc | Fem |
---|---|---|
Number=Sing | $ | $ |
Number=Sing|VerbForm=Part | $ | |
Number=Plur|VerbForm=Part | $ |
Relations with Agreement in Gender
The 10 most frequent relations where parent and child node agree in Gender
:
NOUN –[det]–> DET (42523; 84%),
NOUN –[amod]–> ADJ (11103; 58%),
NOUN –[conj]–> NOUN (2928; 53%),
NOUN –[acl]–> VERB (1938; 81%),
VERB –[nsubj:pass]–> NOUN (696; 87%),
PRON –[nmod]–> NOUN (500; 68%),
ADJ –[nsubj]–> NOUN (466; 56%),
ADJ –[conj]–> ADJ (448; 54%),
NOUN –[nsubj]–> NOUN (421; 51%),
NOUN –[det]–> PRON (186; 70%).