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Treebank Statistics: UD_Polish-LFG: Features: SubGender

This feature is language-specific. It occurs with 3 different values: Masc1, Masc2, Masc3.

30073 tokens (23%) have a non-empty value of SubGender. 13875 types (47%) occur at least once with a non-empty value of SubGender. 8286 lemmas (53%) occur at least once with a non-empty value of SubGender. The feature is used with 8 part-of-speech tags: NOUN (11867; 9% instances), VERB (6036; 5% instances), ADJ (3894; 3% instances), PROPN (3028; 2% instances), PRON (2760; 2% instances), DET (1576; 1% instances), NUM (565; 0% instances), AUX (347; 0% instances).

NOUN

11867 NOUN tokens (47% of all NOUN tokens) have a non-empty value of SubGender.

The most frequent other feature values with which NOUN and SubGender co-occurred: Gender=Masc (11867; 100%), Number=Sing (8150; 69%).

NOUN tokens may have the following values of SubGender:

• Masc1 (3779; 32% of non-empty SubGender): pan, pana, panie, ludzi, ludzie, poseł, mężczyzna, panu, policjanci, człowiek
• Masc2 (476; 4% of non-empty SubGender): złotych, zł, ptaki, koty, konie, kot, papierosy, psy, papierosa, psa
• Masc3 (7612; 64% of non-empty SubGender): lat, domu, roku, raz, czas, dni, szpitala, dzień, pokoju, czasem

Paradigm przewodnik	Masc1	Masc2	Masc3
Case=Acc|Number=Sing	przewodnika
Case=Acc|Number=Plur			przewodniki
Case=Gen|Number=Plur	przewodników
Case=Ins|Number=Sing	przewodnikiem
Case=Ins|Number=Plur		przewodnikami

SubGender seems to be lexical feature of NOUN. 99% lemmas (2769) occur only with one value of SubGender.

VERB

6036 VERB tokens (28% of all VERB tokens) have a non-empty value of SubGender.

The most frequent other feature values with which VERB and SubGender co-occurred: Gender=Masc (6036; 100%), Mood=Ind (6036; 100%), Person=EMPTY (6036; 100%), VerbForm=Fin (6036; 100%), Voice=Act (6036; 100%), Tense=Past (6009; 100%), Number=Sing (4543; 75%), Aspect=Perf (3612; 60%).

VERB tokens may have the following values of SubGender:

• Masc1 (5233; 87% of non-empty SubGender): miał, chciał, mógł, widział, musiał, mieli, powiedział, zaczął, spojrzał, wiedział
• Masc2 (147; 2% of non-empty SubGender): kantowały, miał, był, stał, chciał, grał, krążyły, miały, pojawiły, rozumiał
• Masc3 (656; 11% of non-empty SubGender): mógł, zaczął, był, stał, były, miał, minął, nadszedł, panował, powstał

Paradigm mieć	Masc1	Masc2	Masc3
Number=Sing	miał	miał	miał
Number=Plur	mieli	miały	miały

ADJ

3894 ADJ tokens (45% of all ADJ tokens) have a non-empty value of SubGender.

The most frequent other feature values with which ADJ and SubGender co-occurred: Gender=Masc (3894; 100%), Aspect=EMPTY (3296; 85%), Polarity=EMPTY (3296; 85%), VerbForm=EMPTY (3296; 85%), Voice=EMPTY (3296; 85%), Degree=Pos (3123; 80%), Number=Sing (2616; 67%).

ADJ tokens may have the following values of SubGender:

• Masc1 (1267; 33% of non-empty SubGender): sam, sami, inni, jeden, pierwszy, innych, stary, dobry, starszy, jednego
• Masc2 (139; 4% of non-empty SubGender): jeden, małe, dzikie, jednego, pokrojone, Białego, Biały, Biedny, Inne, Luksusowego
• Masc3 (2488; 64% of non-empty SubGender): cały, pierwszy, kolejny, jeden, drugi, inny, inne, wielki, nowy, ostatnie

Paradigm sam	Masc1	Masc2	Masc3
Case=Acc|Number=Sing			sam
Case=Acc|Number=Plur	samych		same
Case=Gen|Number=Sing	samego		samego
Case=Gen|Number=Plur			samych
Case=Ins|Number=Sing	samym
Case=Loc|Number=Sing			samym
Case=Nom|Number=Sing	sam		sam
Case=Nom|Number=Plur	sami	same	same

PROPN

3028 PROPN tokens (66% of all PROPN tokens) have a non-empty value of SubGender.

The most frequent other feature values with which PROPN and SubGender co-occurred: Gender=Masc (3028; 100%), Number=Sing (2840; 94%), Case=Nom (1729; 57%).

PROPN tokens may have the following values of SubGender:

• Masc1 (2451; 81% of non-empty SubGender): Polacy, Jerzy, Andrzej, Adam, Bóg, Michał, Krzysztof, Kwaśniewski, Niemcy, Aleksander
• Masc2 (49; 2% of non-empty SubGender): Dior, Duduś, Puzon, stara, Bosmana, Bronek, Czerwonym, DigiPath, Dunaja, Dusiołku
• Masc3 (528; 17% of non-empty SubGender): SLD, Izrael, Krakowa, Paryżu, Poznaniu, Wrocławia, Afganistanie, Gdańska, Izraelu, Kraków

Paradigm Lech	Masc1	Masc2
Case=Acc	Lecha
Case=Gen	Lecha	Lecha
Case=Ins	Lechem
Case=Nom	Lech

SubGender seems to be lexical feature of PROPN. 100% lemmas (1842) occur only with one value of SubGender.

PRON

2760 PRON tokens (30% of all PRON tokens) have a non-empty value of SubGender.

The most frequent other feature values with which PRON and SubGender co-occurred: Gender=Masc (2760; 100%), Reflex=EMPTY (2760; 100%), PronType=Prs (2376; 86%), Number=Sing (2021; 73%), PrepCase=EMPTY (1404; 51%).

PRON tokens may have the following values of SubGender:

• Masc1 (2505; 91% of non-empty SubGender): go, mnie, jego, mu, ja, mi, ich, nas, on, kto
• Masc2 (55; 2% of non-empty SubGender): go, ich, mu, jego, nim, je, on, ci, mnie, niego
• Masc3 (200; 7% of non-empty SubGender): go, je, nim, on, niego, one, ich, jego, nich, mu

Paradigm on	Masc1	Masc2	Masc3
Case=Acc|Number=Sing|PrepCase=Npr|Variant=Long	jego
Case=Acc|Number=Sing|PrepCase=Npr|Variant=Short	go	go	go
Case=Acc|Number=Sing|PrepCase=Pre|Variant=Long	niego	niego	niego
Case=Acc|Number=Sing|PrepCase=Pre|Variant=Short	ń		ń
Case=Acc|Number=Plur|PrepCase=Npr|Variant=Long	ich	je, ich	je
Case=Acc|Number=Plur|PrepCase=Pre|Variant=Long	nich
Case=Dat|Number=Sing|PrepCase=Npr|Variant=Long	jemu	jemu
Case=Dat|Number=Sing|PrepCase=Npr|Variant=Short	mu	mu	mu
Case=Dat|Number=Sing|PrepCase=Pre|Variant=Long	niemu
Case=Dat|Number=Plur|PrepCase=Npr|Variant=Long	im
Case=Dat|Number=Plur|PrepCase=Pre|Variant=Long			nim
Case=Gen|Number=Sing|PrepCase=Npr|Variant=Long	jego, iego	jego	jego
Case=Gen|Number=Sing|PrepCase=Npr|Variant=Short	go	go	go
Case=Gen|Number=Sing|PrepCase=Pre|Variant=Long	niego		niego
Case=Gen|Number=Plur|PrepCase=Npr|Variant=Long	ich	ich	ich
Case=Gen|Number=Plur|PrepCase=Pre|Variant=Long	nich	nich	nich
Case=Ins|Number=Sing|PrepCase=Npr|Variant=Long	nim	nim	nim
Case=Ins|Number=Sing|PrepCase=Pre|Variant=Long	nim	nim	nim
Case=Ins|Number=Plur|PrepCase=Pre|Variant=Long	nimi	nimi
Case=Loc|Number=Sing|PrepCase=Pre|Variant=Long	nim	nim	nim
Case=Loc|Number=Plur|PrepCase=Pre|Variant=Long	nich		nich
Case=Nom|Number=Sing|PrepCase=Npr|Variant=Long	on	on	on
Case=Nom|Number=Plur|PrepCase=Npr|Variant=Long	oni		one

DET

1576 DET tokens (49% of all DET tokens) have a non-empty value of SubGender.

The most frequent other feature values with which DET and SubGender co-occurred: Gender=Masc (1576; 100%), Number[psor]=EMPTY (1396; 89%), Person=EMPTY (1396; 89%), NumType=EMPTY (1353; 86%), Poss=EMPTY (1261; 80%), Number=Sing (906; 57%).

DET tokens may have the following values of SubGender:

• Masc1 (491; 31% of non-empty SubGender): ten, wielu, wszyscy, każdy, mój, ci, wszystkich, tego, który, niektórzy
• Masc2 (55; 3% of non-empty SubGender): ten, te, który, nasze, takiego, tego, Twój, Wszystkie, ile, któryś
• Masc3 (1030; 65% of non-empty SubGender): ten, tym, tego, kilka, te, swój, jakiś, taki, takie, tych

Paradigm ten	Masc1	Masc2	Masc3
Case=Acc|Number=Sing	tego	tego	ten, tyn
Case=Acc|Number=Plur	tych	te	te
Case=Dat|Number=Plur	tym
Case=Gen|Number=Sing	tego	tego	tego
Case=Gen|Number=Plur	tych		tych
Case=Ins|Number=Sing	tym	tym	tym
Case=Ins|Number=Plur			tymi
Case=Loc|Number=Sing	tym		tym
Case=Loc|Number=Plur			tych
Case=Nom|Number=Sing	ten	ten	ten
Case=Nom|Number=Plur	ci	te	te

NUM

565 NUM tokens (68% of all NUM tokens) have a non-empty value of SubGender.

The most frequent other feature values with which NUM and SubGender co-occurred: Gender=Masc (565; 100%), Number=Plur (565; 100%), NumType=Card (563; 100%), Case=Acc (399; 71%).

NUM tokens may have the following values of SubGender:

• Masc1 (176; 31% of non-empty SubGender): dwóch, trzech, czterech, dwaj, obaj, pięciu, trzej, obu, sześciu, stu
• Masc2 (49; 9% of non-empty SubGender): 1500, 20, 4, 600, dwa, pięć, siedem, sto, trzy, 1.000
• Masc3 (340; 60% of non-empty SubGender): dwa, trzy, cztery, dwóch, dwadzieścia, sto, trzech, 10, 4, 80

Paradigm dwa	Masc1	Masc2	Masc3
Case=Acc	dwóch		dwa
Case=Gen	dwóch	dwóch	dwóch, dwu
Case=Ins		dwoma	dwoma
Case=Loc			dwóch
Case=Nom	dwaj	dwa	dwa

AUX

347 AUX tokens (8% of all AUX tokens) have a non-empty value of SubGender.

The most frequent other feature values with which AUX and SubGender co-occurred: Gender=Masc (347; 100%), Mood=Ind (347; 100%), Person=EMPTY (347; 100%), Tense=Past (347; 100%), Variant=EMPTY (347; 100%), VerbForm=Fin (347; 100%), Voice=Act (291; 84%), Aspect=Imp (283; 82%), Number=Sing (266; 77%).

AUX tokens may have the following values of SubGender:

• Masc1 (194; 56% of non-empty SubGender): był, byli, został, zostali, bywał
• Masc2 (7; 2% of non-empty SubGender): był, został, były
• Masc3 (146; 42% of non-empty SubGender): był, został, były, zostały

Paradigm być	Masc1	Masc2	Masc3
Number=Sing	był		był
Number=Sing|Voice=Act	był	był	był
Number=Plur	byli		były
Number=Plur|Voice=Act	byli	były	były

Relations with Agreement in SubGender

The 10 most frequent relations where parent and child node agree in SubGender: NOUN –[amod]–> ADJ (2435; 100%), VERB –[nsubj]–> NOUN (1562; 51%), NOUN –[det]–> DET (1216; 100%), VERB –[nsubj]–> PROPN (798; 75%), VERB –[conj]–> VERB (487; 62%), NOUN –[nummod]–> NUM (476; 100%), NOUN –[flat]–> PROPN (466; 96%), NOUN –[acl]–> ADJ (357; 100%), PROPN –[flat]–> PROPN (247; 97%), NOUN –[flat]–> NOUN (131; 93%).

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