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Treebank Statistics: UD_Portuguese-Porttinari: Features: Gender

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

64442 tokens (38%) have a non-empty value of Gender. 9652 types (50%) occur at least once with a non-empty value of Gender. 6592 lemmas (51%) occur at least once with a non-empty value of Gender. The feature is used with 7 part-of-speech tags: NOUN (29321; 17% instances), DET (24062; 14% instances), ADJ (5484; 3% instances), PRON (2722; 2% instances), VERB (2141; 1% instances), NUM (650; 0% instances), AUX (62; 0% instances).

NOUN

29321 NOUN tokens (94% 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 (21169; 72%).

NOUN tokens may have the following values of Gender:

• Fem (13979; 48% of non-empty Gender): pessoas, vez, parte, empresa, casa, cidade, história, empresas, gente, forma
• Masc (15342; 52% of non-empty Gender): anos, ano, dia, país, tempo, governo, mercado, caso, mundo, acordo
• EMPTY (1941): presidente, polícia, segurança, capital, final, clientes, ex-presidente, local, cara, modelo

Paradigm filho	Masc	Fem
Number=Sing	filho	filha
Number=Plur	filhos	filhas

Gender seems to be lexical feature of NOUN. 97% lemmas (4517) occur only with one value of Gender.

DET

24062 DET tokens (99% 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 (21217; 88%), Number=Sing (19647; 82%), Definite=Def (18936; 79%).

DET tokens may have the following values of Gender:

• Fem (11125; 46% of non-empty Gender): a, as, uma, sua, essa, esta, suas, essas, minha, outras
• Masc (12937; 54% of non-empty Gender): o, os, um, seu, esse, este, seus, outros, mesmo, todos
• EMPTY (300): cada, mais, qualquer, que, menos, tal, demais, quais, qual, tais

Paradigm o	Masc	Fem
ExtPos=ADV|Number=Sing	o
Number=Sing	o	a
Number=Plur	os	as

ADJ

5484 ADJ tokens (64% 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 (4436; 81%), Number=Sing (3865; 70%).

ADJ tokens may have the following values of Gender:

• Fem (2495; 45% of non-empty Gender): primeira, nova, brasileira, muitas, última, segunda, política, boa, novas, pública
• Masc (2989; 55% of non-empty Gender): novo, últimos, primeiro, muitos, bom, passado, preciso, último, segundo, brasileiro
• EMPTY (3107): maior, grande, melhor, possível, importante, sociais, difícil, grandes, principal, atual

Paradigm novo	Masc	Fem
Number=Sing	novo	nova
Number=Plur	novos	novas

PRON

2722 PRON tokens (43% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Number=Sing (2139; 79%), Person=3 (1778; 65%), Case=EMPTY (1605; 59%).

PRON tokens may have the following values of Gender:

• Fem (613; 23% of non-empty Gender): ela, a, elas, as, essa, la, esta, algumas, outra, outras
• Masc (2109; 77% of non-empty Gender): o, ele, isso, eles, os, nada, algo, lo, outro, um
• EMPTY (3646): que, se, eu, quem, me, tudo, você, nos, nós, ninguém

Paradigm ele	Masc	Fem
Number=Sing	ele	ela
Number=Plur	eles	elas

VERB

2141 VERB tokens (13% 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 (2141; 100%), Person=EMPTY (2141; 100%), Tense=EMPTY (2141; 100%), VerbForm=Part (2141; 100%), Voice=Pass (1808; 84%), Number=Sing (1530; 71%).

VERB tokens may have the following values of Gender:

• Fem (737; 34% of non-empty Gender): feita, feitas, realizada, procurada, chamada, criada, seguida, usadas, considerada, dada
• Masc (1404; 66% of non-empty Gender): feito, devido, usado, preso, visto, apresentado, chamado, recebido, apontado, conhecido
• EMPTY (14963): diz, tem, há, disse, pode, fazer, ter, afirma, deve, teve

Paradigm ter	Masc	Fem
Number=Sing	tido
Number=Plur|Voice=Pass		tidas

NUM

650 NUM tokens (20% 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 (559; 86%).

NUM tokens may have the following values of Gender:

• Fem (258; 40% of non-empty Gender): uma, duas, primeira, segunda, meia, 2ª, terceira, 71ª
• Masc (392; 60% of non-empty Gender): um, dois, primeiro, 1º, segundo, meio, terceiro, primeiros, 3º, quinto
• EMPTY (2649): três, mil, 20, quatro, 30, 2016, 2018, 12, 15, cinco

Paradigm um	Masc	Fem
ExtPos=ADV	um
ExtPos=SCONJ		uma
	um	uma

AUX

62 AUX tokens (1% 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 (62; 100%), Number=Sing (62; 100%), Person=EMPTY (62; 100%), Tense=EMPTY (62; 100%), VerbForm=Part (62; 100%).

AUX tokens may have the following values of Gender:

• Masc (62; 100% of non-empty Gender): sido
• EMPTY (4744): é, foi, ser, está, são, era, foram, será, estão, estava

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (18839; 93%), NOUN –[amod]–> ADJ (3801; 62%), NOUN –[conj]–> NOUN (766; 50%), VERB –[nsubj:pass]–> NOUN (485; 91%), ADJ –[nsubj]–> NOUN (228; 54%), NUM –[nmod]–> NOUN (131; 56%), PRON –[nmod]–> NOUN (94; 57%), PRON –[det]–> DET (75; 63%), NUM –[det]–> DET (66; 65%), PRON –[nsubj]–> NOUN (45; 67%).

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