Gender
: gender
Gender is a lexical feature of nouns and proper nouns, and an inflectional feature of other parts of speech (adjectives, verbs, auxiliary, pronouns, determiners and numerals) that mark agreement with nouns.
Masc
: masculine gender
Examples
- prijatelj “male friend”
- sluga “manservant”
- grad “castle”
- stroj “machine”
Fem
: feminine gender
Examples
- prijateljica “female friend”
- bankirka “female banker”
- univerza “university”
- perut “wing”
Neut
: neuter gender
Examples
- leto “year”
- življenje “life”
- podjetje “company”
- sodišče “court”
Conversion from JOS
All tokens with feature Gender=masculine are converted to Gender=Masc
, all tokens with feature Gender=feminine are converted to Gender=Fem
and all tokens with feature Gender=neuter are converted to Gender=Neut
.
Treebank Statistics (UD_Slovenian)
This feature is universal.
It occurs with 3 different values: Fem
, Masc
, Neut
.
This is a layered feature with the following layers: Gender, Gender[psor].
64731 tokens (46%) have a non-empty value of Gender
.
29150 types (92%) occur at least once with a non-empty value of Gender
.
14613 lemmas (87%) occur at least once with a non-empty value of Gender
.
The feature is used with 8 part-of-speech tags: sl-pos/NOUN (30139; 21% instances), sl-pos/ADJ (15027; 11% instances), sl-pos/VERB (7644; 5% instances), sl-pos/PROPN (4682; 3% instances), sl-pos/PRON (3877; 3% instances), sl-pos/DET (2855; 2% instances), sl-pos/NUM (486; 0% instances), sl-pos/AUX (21; 0% instances).
NOUN
30139 sl-pos/NOUN tokens (100% 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 (21345; 71%).
NOUN
tokens may have the following values of Gender
:
Fem
(12182; 40% of non-emptyGender
): strani, države, pomoč, oči, možnosti, poti, pot, stvari, skupine, vrsteMasc
(12496; 41% of non-emptyGender
): dan, čas, ljudi, del, tolarjev, dni, način, času, časa, otrokNeut
(5461; 18% of non-emptyGender
): leta, let, leto, letih, življenje, dela, delo, mesto, vprašanje, mestu
Paradigm pot | Masc | Fem |
---|---|---|
Case=Acc|Number=Sing | pot | |
Case=Acc|Number=Plur | poti | |
Case=Dat|Number=Sing | poti | |
Case=Gen|Number=Sing | pota | poti |
Case=Gen|Number=Plur | poti | |
Case=Ins|Number=Sing | potjo | |
Case=Ins|Number=Plur | potmi | |
Case=Loc|Number=Sing | poti | |
Case=Loc|Number=Plur | poteh | |
Case=Nom|Number=Sing | pot | |
Case=Nom|Number=Plur | poti |
Gender
seems to be lexical feature of NOUN
. 100% lemmas (6404) occur only with one value of Gender
.
ADJ
15027 sl-pos/ADJ tokens (100% of all ADJ
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which ADJ
and Gender
co-occurred: Degree=Pos (13768; 92%), VerbForm=EMPTY (13098; 87%), Definite=EMPTY (12959; 86%), Number=Sing (10131; 67%).
ADJ
tokens may have the following values of Gender
:
Fem
(6165; 41% of non-emptyGender
): druge, drugi, nove, novo, prva, sama, velika, veliko, druga, drugoMasc
(6013; 40% of non-emptyGender
): sam, prvi, drugi, slovenski, drugih, pravi, sami, novi, velik, državniNeut
(2849; 19% of non-emptyGender
): mogoče, pomembno, jasno, potrebno, težko, novo, drugim, novega, prihodnje, drugo
Paradigm drug | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Definite=Def|Number=Sing | drugi | ||
Case=Acc|Definite=Ind|Number=Sing | drug | ||
Case=Acc|Number=Sing | drugega | drugo | drugo |
Case=Acc|Number=Plur | druge | druge | druga |
Case=Dat|Number=Sing | drugemu | drugi | |
Case=Dat|Number=Plur | drugim | ||
Case=Gen|Number=Sing | drugega | druge | drugega |
Case=Gen|Number=Plur | drugih | drugih | |
Case=Ins|Number=Sing | drugim | drugo | drugim |
Case=Ins|Number=Plur | drugimi | drugimi | |
Case=Loc|Number=Sing | drugem | drugi | drugem |
Case=Loc|Number=Dual | drugih | ||
Case=Loc|Number=Plur | drugih | drugih | drugih |
Case=Nom|Definite=Def|Number=Sing | drugi | ||
Case=Nom|Definite=Ind|Number=Sing | drug | ||
Case=Nom|Number=Sing | druga | drugo | |
Case=Nom|Number=Plur | drugi | druge | druga |
VERB
7644 sl-pos/VERB tokens (44% 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 (7644; 100%), Person=EMPTY (7644; 100%), Mood=EMPTY (7644; 100%), Tense=EMPTY (7644; 100%), Negative=EMPTY (7644; 100%), Number=Sing (5091; 67%), Aspect=Perf (4188; 55%).
VERB
tokens may have the following values of Gender
:
Fem
(1947; 25% of non-emptyGender
): bila, bile, imela, morala, začela, prišla, rekla, pokazala, vedela, dobilaMasc
(4800; 63% of non-emptyGender
): bil, bili, imel, moral, povedal, imeli, morali, dejal, začeli, postalNeut
(897; 12% of non-emptyGender
): bilo, zgodilo, uspelo, prišlo, zdelo, šlo, začelo, bila, ostalo, pomeniloEMPTY
(9666): je, so, ni, bo, ima, gre, imajo, biti, mora, pomeni
Paradigm biti | Masc | Fem | Neut |
---|---|---|---|
Number=Sing | bil | bila | bilo, blo |
Number=Dual | bila, bla | bili | |
Number=Plur | bili | bile | bila |
PROPN
4682 sl-pos/PROPN tokens (100% 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 (4408; 94%), Case=Nom (2427; 52%).
PROPN
tokens may have the following values of Gender
:
Fem
(1613; 34% of non-emptyGender
): Slovenije, Sloveniji, Slovenija, EU, Ljubljani, ZDA, Slovenijo, Evropi, LJUBLJANA, LjubljanaMasc
(2922; 62% of non-emptyGender
): Mariboru, Slovenci, Maribor, New, Drnovšek, Janez, Jože, Gregor, Milan, SlovencevNeut
(147; 3% of non-emptyGender
): Celje, Kosova, Kosovu, Koroškem, Slovenskem, Dolenjskem, Gorenjskem, Hrvaškem, Celju, Japonskem
Paradigm EU | Masc | Fem |
---|---|---|
Case=Acc | EU | |
Case=Gen | EU | |
Case=Loc | EU | |
Case=Nom | EU | EU |
Gender
seems to be lexical feature of PROPN
. 99% lemmas (2571) occur only with one value of Gender
.
PRON
3877 sl-pos/PRON tokens (56% 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 (3854; 99%), Number=Sing (3000; 77%), Variant=EMPTY (2535; 65%), Person=EMPTY (2189; 56%).
PRON
tokens may have the following values of Gender
:
Fem
(833; 21% of non-emptyGender
): jo, jih, ji, njej, katero, njo, kateri, katerih, ta, katereMasc
(1549; 40% of non-emptyGender
): ga, jih, mu, kdo, jim, katerem, vsi, njim, njih, kateregaNeut
(1495; 39% of non-emptyGender
): to, tem, kaj, kar, tega, vse, nekaj, nič, ga, temuEMPTY
(3074): se, si, mi, nas, nam, vam, me, vas, jaz, sebi
Paradigm on | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Number=Sing | njega | njo | |
Case=Acc|Number=Sing|Variant=Short | ga | jo | ga |
Case=Acc|Number=Dual | njiju | ||
Case=Acc|Number=Dual|Variant=Short | ju | ju | ju |
Case=Acc|Number=Plur | njih, nje | ||
Case=Acc|Number=Plur|Variant=Short | jih | jih | jih |
Case=Dat|Number=Sing | njemu | njej | |
Case=Dat|Number=Sing|Variant=Short | mu | ji | mu |
Case=Dat|Number=Dual | njima | ||
Case=Dat|Number=Dual|Variant=Short | jima | jima | |
Case=Dat|Number=Plur | njim | njim | |
Case=Dat|Number=Plur|Variant=Short | jim | jim | jim |
Case=Gen|Number=Sing | njega | nje | njega |
Case=Gen|Number=Sing|Variant=Short | ga | je | ga |
Case=Gen|Number=Dual | njiju | ||
Case=Gen|Number=Dual|Variant=Short | ju | ||
Case=Gen|Number=Plur | njih | njih | njih |
Case=Gen|Number=Plur|Variant=Short | jih | jih | jih |
Case=Ins|Number=Sing | njim | njo | njim |
Case=Ins|Number=Dual | njima | njima | |
Case=Ins|Number=Plur | njimi | njimi | njimi |
Case=Loc|Number=Sing | njem | njej | njem |
Case=Loc|Number=Dual | njiju | ||
Case=Loc|Number=Plur | njih | njih | njih |
Case=Nom|Number=Sing | on | ona | |
Case=Nom|Number=Dual | onadva | ||
Case=Nom|Number=Plur | oni |
DET
2855 sl-pos/DET tokens (86% of all DET
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which DET
and Gender
co-occurred: Degree=EMPTY (2855; 100%), Gender[psor]=EMPTY (2476; 87%), Reflex=EMPTY (2399; 84%), Number[psor]=EMPTY (2051; 72%), Person=EMPTY (2051; 72%), Number=Sing (1913; 67%), Poss=EMPTY (1595; 56%).
DET
tokens may have the following values of Gender
:
Fem
(1164; 41% of non-emptyGender
): svojo, te, svoje, to, svoji, vse, tej, vseh, ta, njegoveMasc
(1219; 43% of non-emptyGender
): ta, tem, svoj, vsak, njegov, vse, tega, ves, svojega, tehNeut
(472; 17% of non-emptyGender
): svoje, tem, to, njegovo, tega, svojega, vsako, njeno, svoja, svojimEMPTY
(455): nekaj, več, veliko, dovolj, manj, malo, največ, pol, toliko, mnogo
Paradigm ta | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Number=Sing | ta, tega | to | to |
Case=Acc|Number=Dual | ti | ||
Case=Acc|Number=Plur | te | te | ta |
Case=Dat|Number=Sing | temu | tej | temu |
Case=Dat|Number=Plur | tem | ||
Case=Gen|Number=Sing | tega | te | tega |
Case=Gen|Number=Dual | teh | ||
Case=Gen|Number=Plur | teh | teh | teh |
Case=Ins|Number=Sing | tem | to | tem |
Case=Ins|Number=Plur | temi | temi | |
Case=Loc|Number=Sing | tem | tej | tem |
Case=Loc|Number=Plur | teh | teh | teh |
Case=Nom|Number=Sing | ta | ta | to |
Case=Nom|Number=Dual | ta | ||
Case=Nom|Number=Plur | ti | te | ta |
NUM
486 sl-pos/NUM tokens (25% of all NUM
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which NUM
and Gender
co-occurred: NumForm=Word (486; 100%), NumType=Card (481; 99%).
NUM
tokens may have the following values of Gender
:
Fem
(187; 38% of non-emptyGender
): ena, eno, tri, dve, štiri, eni, dveh, ene, dvema, trehMasc
(223; 46% of non-emptyGender
): dva, eden, en, dveh, enega, enem, tri, trije, štirih, trehNeut
(76; 16% of non-emptyGender
): eno, štirih, treh, tri, dve, štiri, dveh, tremi, dvema, dvojeEMPTY
(1441): tisoč, pet, 10, sto, 15, 2000, deset, 1., 50, 30
Paradigm en | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Number=Sing | en, enega | eno | eno |
Case=Dat|Number=Sing | enemu | eni | |
Case=Gen|Number=Sing | enega | ene | enega |
Case=Ins|Number=Sing | enim | eno | enim |
Case=Loc|Number=Sing | enem | eni | enem |
Case=Loc|Number=Plur | enih | ||
Case=Nom|Number=Sing | en | ena | eno |
Case=Nom|Number=Plur | eni |
AUX
21 sl-pos/AUX tokens (0% of all AUX
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which AUX
and Gender
co-occurred: Tense=EMPTY (21; 100%), VerbForm=Part (21; 100%), Person=EMPTY (21; 100%), Mood=EMPTY (21; 100%), Negative=EMPTY (21; 100%), Number=Sing (14; 67%).
AUX
tokens may have the following values of Gender
:
Fem
(3; 14% of non-emptyGender
): bilaMasc
(18; 86% of non-emptyGender
): bil, bili, bilaEMPTY
(7126): je, so, bi, bo, sem, ni, bodo, sta, smo, niso
Paradigm biti | Masc | Fem |
---|---|---|
Number=Sing | bil | bila |
Number=Dual | bila | |
Number=Plur | bili |
Relations with Agreement in Gender
The 10 most frequent relations where parent and child node agree in Gender
:
NOUN –[amod]–> ADJ (11306; 99%),
NOUN –[det]–> DET (2835; 86%),
ADJ –[nsubj]–> NOUN (880; 98%),
NOUN –[nmod]–> PROPN (839; 55%),
PROPN –[name]–> PROPN (683; 100%),
ADJ –[conj]–> ADJ (632; 93%),
VERB –[nsubj]–> PROPN (578; 73%),
VERB –[conj]–> VERB (550; 68%),
PROPN –[amod]–> ADJ (246; 100%),
PROPN –[conj]–> PROPN (224; 71%).
Treebank Statistics (UD_Slovenian-SST)
This feature is universal.
It occurs with 3 different values: Fem
, Masc
, Neut
.
This is a layered feature with the following layers: Gender, Gender[psor].
9593 tokens (33%) have a non-empty value of Gender
.
4435 types (73%) occur at least once with a non-empty value of Gender
.
2968 lemmas (75%) occur at least once with a non-empty value of Gender
.
The feature is used with 7 part-of-speech tags: sl-pos/NOUN (3627; 12% instances), sl-pos/ADJ (1665; 6% instances), sl-pos/PRON (1635; 6% instances), sl-pos/VERB (1292; 4% instances), sl-pos/DET (660; 2% instances), sl-pos/PROPN (444; 2% instances), sl-pos/NUM (270; 1% instances).
NOUN
3627 sl-pos/NOUN tokens (100% of all NOUN
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which NOUN
and Gender
co-occurred: Animacy=EMPTY (3255; 90%), Number=Sing (2737; 75%).
NOUN
tokens may have the following values of Gender
:
Fem
(1517; 42% of non-emptyGender
): strani, stvari, hvala, minut, stopinj, gospa, stran, razmere, stvar, vezeMasc
(1629; 45% of non-emptyGender
): dan, redu, čas, evrov, koncu, gospod, ljudi, način, dni, delNeut
(481; 13% of non-emptyGender
): bistvu, jutro, leto, leta, vprašanje, letih, ime, mestu, let, leti
Paradigm oči | Masc | Fem |
---|---|---|
Case=Gen|Number=Plur | oči | |
Case=Nom|Number=Sing | oči |
Gender
seems to be lexical feature of NOUN
. 100% lemmas (1525) occur only with one value of Gender
.
ADJ
1665 sl-pos/ADJ tokens (100% 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 (1479; 89%), Degree=Pos (1443; 87%), Definite=EMPTY (1352; 81%), Number=Sing (1266; 76%), Case=Nom (879; 53%).
ADJ
tokens may have the following values of Gender
:
Fem
(651; 39% of non-emptyGender
): drugo, druga, lepa, rdeča, same, druge, glavna, sama, dobra, tretjoMasc
(650; 39% of non-emptyGender
): dober, prvi, drugi, lep, sam, stari, mali, sami, cel, praviNeut
(364; 22% of non-emptyGender
): dobro, glavnem, zanimivo, drugega, mogoče, drugo, hudega, jasno, podobno, pomembno
Paradigm drug | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Definite=Def|Number=Sing | drugi | ||
Case=Acc|Number=Sing | drugo | drugo | |
Case=Acc|Number=Plur | druge | druge | |
Case=Dat|Number=Sing | drugemu | ||
Case=Gen|Number=Sing | drugega | druge | drugega |
Case=Gen|Number=Plur | drugih | drugih | |
Case=Ins|Number=Sing | drugo | drugim | |
Case=Ins|Number=Plur | drugimi | ||
Case=Loc|Number=Sing | drugi | drugem | |
Case=Loc|Number=Dual | drugih | ||
Case=Nom|Definite=Def|Number=Sing | drugi | ||
Case=Nom|Definite=Ind|Number=Sing | drug | ||
Case=Nom|Number=Sing | druga | drugo | |
Case=Nom|Number=Plur | drugi | druge |
PRON
1635 sl-pos/PRON tokens (63% of all PRON
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which PRON
and Gender
co-occurred: Variant=EMPTY (1425; 87%), Number=Sing (1356; 83%), Person=EMPTY (1218; 74%), Case=Nom (877; 54%).
PRON
tokens may have the following values of Gender
:
Fem
(202; 12% of non-emptyGender
): jo, ona, jih, ta, te, ji, je, kakšna, njej, njoMasc
(449; 27% of non-emptyGender
): ga, mi, jih, kdo, vi, on, oni, jim, mu, tistiNeut
(984; 60% of non-emptyGender
): to, kaj, nič, vse, kar, tega, nekaj, tem, tisto, toleEMPTY
(959): se, jaz, ti, mi, si, nas, vam, meni, me, mene
Paradigm ta | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Number=Sing | ta | to | to |
Case=Acc|Number=Plur | te | te | |
Case=Dat|Number=Sing | temu | temu | |
Case=Gen|Number=Sing | tega | te | tega |
Case=Gen|Number=Plur | teh | teh | |
Case=Ins|Number=Sing | tem | ||
Case=Loc|Number=Sing | tem | ||
Case=Nom|Number=Sing | ta | ta | to |
Case=Nom|Number=Plur | ti | te | ta |
VERB
1292 sl-pos/VERB tokens (28% of all VERB
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which VERB
and Gender
co-occurred: Person=EMPTY (1292; 100%), Mood=EMPTY (1292; 100%), Negative=EMPTY (1292; 100%), VerbForm=Part (1292; 100%), Tense=EMPTY (1292; 100%), Number=Sing (886; 69%).
VERB
tokens may have the following values of Gender
:
Fem
(350; 27% of non-emptyGender
): bila, imela, šla, rekla, videla, dala, naredila, delala, izdala, moglaMasc
(779; 60% of non-emptyGender
): bil, rekel, imeli, bili, imel, rekli, šel, dobil, videl, videliNeut
(163; 13% of non-emptyGender
): bilo, šlo, prišlo, zgodilo, bila, dalo, ostalo, moglo, moralo, potegniloEMPTY
(3319): je, so, vem, ni, veš, mislim, bo, recimo, ima, sem
Paradigm biti | Masc | Fem | Neut |
---|---|---|---|
Aspect=Imp|Number=Sing | bil | bilo | |
Number=Sing | bil | bila | bilo |
Number=Dual | bila | ||
Number=Plur | bili | bile | bila |
DET
660 sl-pos/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: Person=EMPTY (547; 83%), Poss=EMPTY (547; 83%), Number[psor]=EMPTY (547; 83%), Number=Sing (474; 72%), PronType=Dem (331; 50%).
DET
tokens may have the following values of Gender
:
Fem
(282; 43% of non-emptyGender
): ta, te, tej, to, naša, moja, neke, neko, take, tehMasc
(285; 43% of non-emptyGender
): ta, tem, tega, kakšen, ti, teh, vsak, vsi, moj, mojegaNeut
(93; 14% of non-emptyGender
): to, vse, tako, teh, tem, kako, neko, vsa, vsako, taEMPTY
(52): nekaj, več, veliko, koliko, pol, toliko, malo, par, dosti, dovolj
Paradigm ta | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Number=Sing | ta, tega | to | to |
Case=Acc|Number=Plur | te | te | ta |
Case=Dat|Number=Sing | tej | ||
Case=Dat|Number=Plur | tem | tem | |
Case=Gen|Number=Sing | tega | te | tega |
Case=Gen|Number=Plur | teh | teh | teh |
Case=Ins|Number=Sing | tem | to | tem |
Case=Ins|Number=Plur | temi | temi | |
Case=Loc|Number=Sing | tem | tej | tem |
Case=Loc|Number=Plur | teh | teh | |
Case=Nom|Number=Sing | ta | ta | to |
Case=Nom|Number=Dual | ti | ||
Case=Nom|Number=Plur | ti | te | ta |
PROPN
444 sl-pos/PROPN tokens (59% 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 (403; 91%), Case=Nom (233; 52%).
PROPN
tokens may have the following values of Gender
:
Fem
(167; 38% of non-emptyGender
): slovenija, sloveniji, slovenije, božjah, karavanke, bistrica, evropi, jugoslaviji, orsa, viktorijeMasc
(267; 60% of non-emptyGender
): jones, tom, david, healy, iraku, jezus, herman, paranoid, petty, quincyNeut
(10; 2% of non-emptyGender
): pohorja, celja, jezerskim, laškega, madžarskem, pohorje, posočju, velenjuEMPTY
(314): [name:personal], [name:surname], [name:address], [name:organisation], [name:place]
Gender
seems to be lexical feature of PROPN
. 100% lemmas (306) occur only with one value of Gender
.
NUM
270 sl-pos/NUM tokens (54% of all NUM
tokens) have a non-empty value of Gender
.
The most frequent other feature values with which NUM
and Gender
co-occurred: NumForm=Word (270; 100%), NumType=Card (269; 100%), Number=Sing (153; 57%).
NUM
tokens may have the following values of Gender
:
Fem
(127; 47% of non-emptyGender
): eno, ena, dve, ene, tri, štiri, dveh, eni, treh, štirihMasc
(126; 47% of non-emptyGender
): dva, en, enega, tri, eden, eni, štirje, enim, štiri, trijeNeut
(17; 6% of non-emptyGender
): eno, ena, tri, dve, enim, tremi, štirih, štirimEMPTY
(229): tisoč, dvajset, pet, petnajst, sto, šest, deset, petdeset, petsto, sedem
Paradigm en | Masc | Fem | Neut |
---|---|---|---|
Case=Acc|Number=Sing | en, enega | eno | eno |
Case=Acc|Number=Plur | ene | ||
Case=Dat|Number=Sing | enemu | ||
Case=Gen|Number=Sing | enega | ene | |
Case=Gen|Number=Plur | enih | ||
Case=Ins|Number=Sing | enim | eno | enim |
Case=Loc|Number=Sing | eni | ||
Case=Nom|Number=Sing | en | ena | eno |
Case=Nom|Number=Plur | eni | ena |
Relations with Agreement in Gender
The 10 most frequent relations where parent and child node agree in Gender
:
NOUN –[amod]–> ADJ (941; 99%),
NOUN –[det]–> DET (580; 90%),
NOUN –[nummod]–> NUM (139; 53%),
NOUN –[conj]–> NOUN (106; 60%),
ADJ –[nsubj]–> NOUN (76; 96%),
PROPN –[name]–> PROPN (75; 100%),
ADJ –[nsubj]–> PRON (53; 80%),
ADJ –[conj]–> ADJ (50; 93%),
NOUN –[appos]–> NOUN (30; 64%),
ADJ –[det]–> DET (28; 93%).
Gender in other languages: [bg] [cs] [de] [el] [en] [es] [eu] [fa] [fr] [ga] [he] [hu] [it] [ja] [ko] [sv] [u]