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Treebank Statistics: UD_French-ParisStories: Features: Gender

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

11929 tokens (28%) have a non-empty value of Gender. 1946 types (59%) occur at least once with a non-empty value of Gender. 1650 lemmas (67%) occur at least once with a non-empty value of Gender. The feature is used with 9 part-of-speech tags: NOUN (4289; 10% instances), PRON (3247; 8% instances), DET (2276; 5% instances), VERB (1155; 3% instances), ADJ (869; 2% instances), AUX (38; 0% instances), ADV (33; 0% instances), PROPN (16; 0% instances), NUM (6; 0% instances).

NOUN

4289 NOUN tokens (97% 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 (3434; 80%).

NOUN tokens may have the following values of Gender:

• Fem (1667; 39% of non-empty Gender): fois, maison, mère, heures, année, chose, vie, peur, ville, heure
• Masc (2622; 61% of non-empty Gender): coup, fait, peu, temps, ans, moment, truc, jour, monde, côté
• EMPTY (140): genre, mode, potes, gens, contre, collègues, enfants, machin, parents, autres

Paradigm truc	Masc	Fem
Number=Sing	truc	truc
Number=Plur	trucs

Gender seems to be lexical feature of NOUN. 98% lemmas (1093) occur only with one value of Gender.

PRON

3247 PRON tokens (50% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Person=3 (3204; 99%), Number=Sing (3081; 95%).

PRON tokens may have the following values of Gender:

• Fem (310; 10% of non-empty Gender): elle, elles, la, une, personne, auxquelles, certaines, elle-même, lesquelles
• Masc (2937; 90% of non-empty Gender): on, c’, il, ça, lui, ils, ce, le, -ce, tout
• EMPTY (3188): je, j’, y, qui, tu, me, moi, s’, se, nous

Paradigm lui	Masc	Fem
ExtPos=ADP|Person=3	il
ExtPos=VERB|Person=3	il
Person=3	il, lui, le, elle, l'	elle, la
	le

DET

2276 DET tokens (65% 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 (2264; 99%), Number[psor]=EMPTY (2160; 95%), Person[psor]=EMPTY (2160; 95%), Poss=EMPTY (2160; 95%), PronType=Art (2043; 90%), Definite=Def (1358; 60%).

DET tokens may have the following values of Gender:

• Fem (870; 38% of non-empty Gender): la, une, ma, cette, sa, ta, aucune, quelle, certaines, toute
• Masc (1406; 62% of non-empty Gender): le, un, ce, du, cet, des, les, l’, tout, aucun
• EMPTY (1202): les, l’, des, mon, mes, son, ses, nos, notre, quelque

Paradigm le	Masc	Fem
Definite=Def|Number=Sing	le, l'	la, l'
Definite=Def|Number=Plur	les
Definite=Ind|Number=Sing	le

VERB

1155 VERB tokens (26% of all VERB tokens) have a non-empty value of Gender.

The most frequent other feature values with which VERB and Gender co-occurred: VerbForm=Part (1104; 96%), Mood=EMPTY (1101; 95%), Tense=Past (1099; 95%), Person=EMPTY (1097; 95%), Number=Sing (1084; 94%).

VERB tokens may have the following values of Gender:

• Fem (208; 18% of non-empty Gender): allée, rencontrée, vue, arrivée, partie, venue, accompagnée, rentrée, mise, devenue
• Masc (947; 82% of non-empty Gender): fait, dit, eu, vu, passé, pris, allé, parlé, commencé, rencontré
• EMPTY (3262): avait, a, est, sais, voilà, faire, était, dit, va, aller

Paradigm avoir	Masc	Fem
	eu	eue

ADJ

869 ADJ tokens (72% 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 (662; 76%).

ADJ tokens may have the following values of Gender:

• Fem (345; 40% of non-empty Gender): première, petite, bonne, toute, seule, toutes, grande, petites, autre, contente
• Masc (524; 60% of non-empty Gender): tout, petit, tous, gros, vrai, mignon, petits, beau, bizarre, sympa
• EMPTY (344): tout, petit, même, tous, premier, autre, horrible, petite, contente, sympa

Paradigm tout	Masc	Fem
Number=Sing	tout	toute
Number=Sing|PronType=Ind	tout	toute
Number=Plur	tous	toutes
Number=Plur|PronType=Ind	tous

AUX

38 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: Number=Sing (38; 100%), VerbForm=Part (38; 100%), Mood=EMPTY (37; 97%), Person=EMPTY (37; 97%), Tense=Past (37; 97%).

AUX tokens may have the following values of Gender:

• Masc (38; 100% of non-empty Gender): été, fait, eu
• EMPTY (2066): est, était, a, ai, suis, étais, avait, avais, sont, étaient

ADV

33 ADV tokens (1% of all ADV tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADV and Gender co-occurred: ExtPos=EMPTY (33; 100%).

ADV tokens may have the following values of Gender:

• Masc (33; 100% of non-empty Gender): mal, tout, plus, super
• EMPTY (3506): pas, donc, parce, enfin, plus, vraiment, là, très, même, après

PROPN

16 PROPN tokens (4% of all PROPN tokens) have a non-empty value of Gender.

PROPN tokens may have the following values of Gender:

• Fem (8; 50% of non-empty Gender): Flora, Caraïbes, GoPro, Latine, Terres
• Masc (8; 50% of non-empty Gender): Anglais, PSG, Chevaliers, M
• EMPTY (404): Paris, CROUS, Z, Agen, Ecosse, CP, Sanga, Athis, France, Liège

NUM

6 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: Number=Sing (4; 67%).

NUM tokens may have the following values of Gender:

• Fem (1; 17% of non-empty Gender): une
• Masc (5; 83% of non-empty Gender): neuf, un
• EMPTY (234): deux, trois, six, dix, mille, cinq, quatre, huit, quatorze, sept

Paradigm un	Masc	Fem
	un	une

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (1966; 66%), NOUN –[amod]–> ADJ (440; 75%), ADJ –[nsubj]–> PRON (149; 55%), NOUN –[nsubj]–> PRON (128; 51%), DET –[fixed]–> NOUN (77; 96%), NOUN –[conj]–> NOUN (68; 61%), PRON –[reparandum]–> PRON (64; 91%), NOUN –[reparandum]–> NOUN (57; 77%), DET –[reparandum]–> DET (46; 79%), ADJ –[obl:mod]–> NOUN (32; 53%).

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