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Treebank Statistics: UD_Polish-LFG: Features: Number

This feature is universal. It occurs with 2 different values: Plur, Sing.

This is a layered feature with the following layers: Number, Number[psor].

69502 tokens (53%) have a non-empty value of Number. 29891 types (100%) occur at least once with a non-empty value of Number. 14610 lemmas (93%) occur at least once with a non-empty value of Number. The feature is used with 8 part-of-speech tags: NOUN (25323; 19% instances), VERB (17649; 13% instances), ADJ (8525; 7% instances), PRON (5742; 4% instances), PROPN (4575; 3% instances), AUX (3654; 3% instances), DET (3201; 2% instances), NUM (833; 1% instances).

NOUN

25323 NOUN tokens (100% of all NOUN tokens) have a non-empty value of Number.

The most frequent other feature values with which NOUN and Number co-occurred: SubGender=EMPTY (13456; 53%).

NOUN tokens may have the following values of Number:

• Plur (7170; 28% of non-empty Number): lat, drzwi, oczy, dzieci, ludzi, ludzie, dni, osób, ręce, policjanci
• Sing (18153; 72% of non-empty Number): pan, pani, domu, roku, pana, raz, chwili, czas, życie, chwilę

Paradigm pan	Sing	Plur
Case=Acc	pana	panów
Case=Dat	panu	panom
Case=Gen	pana	panów
Case=Ins	panem
Case=Loc	panu
Case=Nom	pan	panowie
Case=Voc	panie

VERB

17649 VERB tokens (82% of all VERB tokens) have a non-empty value of Number.

The most frequent other feature values with which VERB and Number co-occurred: VerbForm=Fin (17649; 100%), Voice=Act (17609; 100%), Mood=Ind (17113; 97%), SubGender=EMPTY (11613; 66%), Aspect=Imp (10653; 60%), Person=EMPTY (9421; 53%), Tense=Past (9358; 53%).

VERB tokens may have the following values of Number:

• Plur (3875; 22% of non-empty Number): mają, mogą, są, mieli, mamy, chcą, mogli, możemy, musimy, muszą
• Sing (13774; 78% of non-empty Number): ma, miał, mam, jest, było, chciał, może, wiem, proszę, miała
• EMPTY (3943): to, można, trzeba, zrobić, widać, mieć, powiedzieć, warto, być, mówić

Paradigm mieć	Sing	Plur
Gender=Masc|Mood=Ind|SubGender=Masc1|Tense=Past	miał	mieli
Gender=Masc|Mood=Ind|SubGender=Masc2|Tense=Past	miał	miały
Gender=Masc|Mood=Ind|SubGender=Masc3|Tense=Past	miał	miały
Gender=Fem|Mood=Ind|Tense=Past	miała	miały
Gender=Neut|Mood=Ind|Tense=Past	miało	miały
Mood=Imp|Person=2		miejcie
Mood=Ind|Person=1|Tense=Pres	mam	mamy
Mood=Ind|Person=2|Tense=Pres	masz	macie
Mood=Ind|Person=3|Tense=Pres	ma	mają, maja

ADJ

8525 ADJ tokens (99% of all ADJ tokens) have a non-empty value of Number.

The most frequent other feature values with which ADJ and Number co-occurred: Aspect=EMPTY (7332; 86%), Polarity=EMPTY (7332; 86%), VerbForm=EMPTY (7332; 86%), Voice=EMPTY (7332; 86%), Degree=Pos (6989; 82%), SubGender=EMPTY (4631; 54%).

ADJ tokens may have the following values of Number:

• Plur (2628; 31% of non-empty Number): inne, sami, innych, inni, różnych, ostatnie, kolejne, dobre, nowych, pierwsze
• Sing (5897; 69% of non-empty Number): sam, pierwszy, cały, jeden, sama, całą, całe, jedna, jednej, kolejny
• EMPTY (61): dawna, daleka, prostu, biało, polsko, rosyjsko, swojemu, wolna, Niemiecku, Sanitarno

Paradigm sam	Sing	Plur
Case=Acc|Gender=Masc|SubGender=Masc1		samych
Case=Acc|Gender=Masc|SubGender=Masc3	sam	same
Case=Acc|Gender=Fem	samą	same
Case=Acc|Gender=Neut	samo	same
Case=Dat|Gender=Fem	samej
Case=Gen|Gender=Masc|SubGender=Masc1	samego
Case=Gen|Gender=Masc|SubGender=Masc3	samego	samych
Case=Gen|Gender=Fem	samej
Case=Gen|Gender=Neut	samego	samych
Case=Ins|Gender=Masc|SubGender=Masc1	samym
Case=Ins|Gender=Fem	samą
Case=Ins|Gender=Neut	samym
Case=Loc|Gender=Masc|SubGender=Masc3	samym
Case=Loc|Gender=Fem	samej
Case=Loc|Gender=Neut	samym	samych
Case=Nom|Gender=Masc|SubGender=Masc1	sam	sami
Case=Nom|Gender=Masc|SubGender=Masc2		same
Case=Nom|Gender=Masc|SubGender=Masc3	sam	same
Case=Nom|Gender=Fem	sama	same
Case=Nom|Gender=Neut	samo	same

PRON

5742 PRON tokens (62% of all PRON tokens) have a non-empty value of Number.

The most frequent other feature values with which PRON and Number co-occurred: Reflex=EMPTY (5742; 100%), PrepCase=EMPTY (3601; 63%), PronType=Prs (3567; 62%), SubGender=EMPTY (2982; 52%), Variant=EMPTY (2872; 50%).

PRON tokens may have the following values of Number:

• Plur (925; 16% of non-empty Number): ich, nas, nich, je, im, oni, nam, my, wszyscy, nimi
• Sing (4817; 84% of non-empty Number): to, co, mnie, go, ja, jej, mi, jego, mu, tym
• EMPTY (3568): się, sobie, siebie, sobą, sie, se, sia

Paradigm on	Sing	Plur
Case=Acc|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Long	jego	ich
Case=Acc|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Short	go
Case=Acc|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Long		je, ich
Case=Acc|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Short	go
Case=Acc|Gender=Masc|PrepCase=Npr|SubGender=Masc3|Variant=Long		je
Case=Acc|Gender=Masc|PrepCase=Npr|SubGender=Masc3|Variant=Short	go
Case=Acc|Gender=Masc|PrepCase=Pre|SubGender=Masc1|Variant=Long	niego	nich
Case=Acc|Gender=Masc|PrepCase=Pre|SubGender=Masc1|Variant=Short	ń
Case=Acc|Gender=Masc|PrepCase=Pre|SubGender=Masc2|Variant=Long	niego
Case=Acc|Gender=Masc|PrepCase=Pre|SubGender=Masc3|Variant=Long	niego
Case=Acc|Gender=Masc|PrepCase=Pre|SubGender=Masc3|Variant=Short	ń
Case=Acc|Gender=Fem|PrepCase=Npr|Variant=Long	ją	je
Case=Acc|Gender=Fem|PrepCase=Pre|Variant=Long	nią	nie
Case=Acc|Gender=Neut|PrepCase=Npr|Variant=Long	je	je
Case=Acc|Gender=Neut|PrepCase=Pre|Variant=Long	nie	nie
Case=Dat|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Long	jemu	im
Case=Dat|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Short	mu
Case=Dat|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Long	jemu
Case=Dat|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Short	mu
Case=Dat|Gender=Masc|PrepCase=Npr|SubGender=Masc3|Variant=Short	mu
Case=Dat|Gender=Masc|PrepCase=Pre|SubGender=Masc1|Variant=Long	niemu
Case=Dat|Gender=Masc|PrepCase=Pre|SubGender=Masc3|Variant=Long		nim
Case=Dat|Gender=Fem|PrepCase=Npr|Variant=Long	jej	im
Case=Dat|Gender=Fem|PrepCase=Pre|Variant=Long	niej	nim
Case=Dat|Gender=Neut|PrepCase=Npr|Variant=Long		im
Case=Dat|Gender=Neut|PrepCase=Npr|Variant=Short	mu
Case=Gen|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Long	jego, iego	ich
Case=Gen|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Short	go
Case=Gen|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Long	jego	ich
Case=Gen|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Short	go
Case=Gen|Gender=Masc|PrepCase=Npr|SubGender=Masc3|Variant=Long	jego	ich
Case=Gen|Gender=Masc|PrepCase=Npr|SubGender=Masc3|Variant=Short	go
Case=Gen|Gender=Masc|PrepCase=Pre|SubGender=Masc1|Variant=Long	niego	nich
Case=Gen|Gender=Masc|PrepCase=Pre|SubGender=Masc2|Variant=Long		nich
Case=Gen|Gender=Masc|PrepCase=Pre|SubGender=Masc3|Variant=Long	niego	nich
Case=Gen|Gender=Fem|PrepCase=Npr|Variant=Long	jej	ich
Case=Gen|Gender=Fem|PrepCase=Pre|Variant=Long	niej	nich
Case=Gen|Gender=Neut|PrepCase=Npr|Variant=Long	jego	ich
Case=Gen|Gender=Neut|PrepCase=Npr|Variant=Short	go
Case=Gen|Gender=Neut|PrepCase=Pre|Variant=Long	niego	nich
Case=Ins|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Long	nim
Case=Ins|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Long	nim
Case=Ins|Gender=Masc|PrepCase=Npr|SubGender=Masc3|Variant=Long	nim
Case=Ins|Gender=Masc|PrepCase=Pre|SubGender=Masc1|Variant=Long	nim	nimi
Case=Ins|Gender=Masc|PrepCase=Pre|SubGender=Masc2|Variant=Long	nim	nimi
Case=Ins|Gender=Masc|PrepCase=Pre|SubGender=Masc3|Variant=Long	nim
Case=Ins|Gender=Fem|PrepCase=Npr|Variant=Long	nią	nimi
Case=Ins|Gender=Fem|PrepCase=Pre|Variant=Long	nią	nimi
Case=Ins|Gender=Neut|PrepCase=Npr|Variant=Long	nim
Case=Ins|Gender=Neut|PrepCase=Pre|Variant=Long	nim	nimi
Case=Loc|Gender=Masc|PrepCase=Pre|SubGender=Masc1|Variant=Long	nim	nich
Case=Loc|Gender=Masc|PrepCase=Pre|SubGender=Masc2|Variant=Long	nim
Case=Loc|Gender=Masc|PrepCase=Pre|SubGender=Masc3|Variant=Long	nim	nich
Case=Loc|Gender=Fem|PrepCase=Pre|Variant=Long	niej	nich
Case=Loc|Gender=Neut|PrepCase=Pre|Variant=Long	nim	nich
Case=Nom|Gender=Masc|PrepCase=Npr|SubGender=Masc1|Variant=Long	on	oni
Case=Nom|Gender=Masc|PrepCase=Npr|SubGender=Masc2|Variant=Long	on
Case=Nom|Gender=Masc|PrepCase=Npr|SubGender=Masc3|Variant=Long	on	one
Case=Nom|Gender=Fem|PrepCase=Npr|Variant=Long	ona	one
Case=Nom|Gender=Neut|PrepCase=Npr|Variant=Long	ono, one	one

Number seems to be lexical feature of PRON. 95% lemmas (18) occur only with one value of Number.

PROPN

4575 PROPN tokens (100% of all PROPN tokens) have a non-empty value of Number.

The most frequent other feature values with which PROPN and Number co-occurred: Gender=Masc (3028; 66%), SubGender=Masc1 (2451; 54%), Case=Nom (2304; 50%).

PROPN tokens may have the following values of Number:

• Plur (320; 7% of non-empty Number): Polacy, Niemcy, USA, Niemczech, Polaków, Niemiec, Niemców, Amerykanie, Rosjanie, Stanach
• Sing (4255; 93% of non-empty Number): Polsce, Polski, Warszawie, Jerzy, Warszawy, Andrzej, SLD, Adam, Bóg, Marta

Paradigm Polak	Sing	Plur
Case=Acc		Polaków
Case=Dat		Polakom
Case=Gen	Polaka	Polaków
Case=Ins		Polakami
Case=Nom	Polak	Polacy

Number seems to be lexical feature of PROPN. 99% lemmas (2676) occur only with one value of Number.

AUX

3654 AUX tokens (86% of all AUX tokens) have a non-empty value of Number.

The most frequent other feature values with which AUX and Number co-occurred: Aspect=Imp (3510; 96%), Gender=EMPTY (2961; 81%), Voice=EMPTY (2312; 63%), Variant=EMPTY (1957; 54%), VerbForm=Fin (1957; 54%), Mood=Ind (1949; 53%).

AUX tokens may have the following values of Number:

• Plur (737; 20% of non-empty Number): śmy, są, były, będą, byli, ście, będziemy, jesteśmy, zostały, zostali
• Sing (2917; 80% of non-empty Number): em, jest, m, był, będzie, było, była, eś, ś, jestem
• EMPTY (593): by, być, niech, to, zostać, Niechaj

Paradigm być	Sing	Plur
Gender=Masc|Mood=Ind|SubGender=Masc1|Tense=Past|VerbForm=Fin	był	byli
Gender=Masc|Mood=Ind|SubGender=Masc1|Tense=Past|VerbForm=Fin|Voice=Act	był	byli
Gender=Masc|Mood=Ind|SubGender=Masc2|Tense=Past|VerbForm=Fin|Voice=Act	był	były
Gender=Masc|Mood=Ind|SubGender=Masc3|Tense=Past|VerbForm=Fin	był	były
Gender=Masc|Mood=Ind|SubGender=Masc3|Tense=Past|VerbForm=Fin|Voice=Act	był	były
Gender=Fem|Mood=Ind|Tense=Past|VerbForm=Fin	była	były
Gender=Fem|Mood=Ind|Tense=Past|VerbForm=Fin|Voice=Act	była	były
Gender=Neut|Mood=Ind|Tense=Past|VerbForm=Fin	było	były
Gender=Neut|Mood=Ind|Tense=Past|VerbForm=Fin|Voice=Act	było	były
Mood=Imp|Person=2|VerbForm=Fin|Voice=Act	bądź	bądźcie
Mood=Ind|Person=1|Tense=Fut|VerbForm=Fin	będę	będziemy
Mood=Ind|Person=1|Tense=Pres|VerbForm=Fin|Voice=Act	jestem	jesteśmy
Mood=Ind|Person=2|Tense=Fut|VerbForm=Fin	będziesz	będziecie
Mood=Ind|Person=2|Tense=Pres|VerbForm=Fin|Voice=Act	jesteś	jesteście
Mood=Ind|Person=3|Tense=Fut|VerbForm=Fin	będzie	będą
Mood=Ind|Person=3|Tense=Pres|VerbForm=Fin	jest	są, som
Mood=Ind|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act	jest	są
Person=1|Variant=Long	em
Person=1|Variant=Short	m	śmy
Person=2|Variant=Long	eś
Person=2|Variant=Short	ś	ście

DET

3201 DET tokens (100% of all DET tokens) have a non-empty value of Number.

The most frequent other feature values with which DET and Number co-occurred: NumType=EMPTY (2806; 88%), Number[psor]=EMPTY (2772; 87%), Person=EMPTY (2772; 87%), Poss=EMPTY (2455; 77%), SubGender=EMPTY (1625; 51%).

DET tokens may have the following values of Number:

• Plur (1239; 39% of non-empty Number): te, kilka, tych, wszystkie, takie, wielu, wiele, swoje, kilku, wszystkich
• Sing (1962; 61% of non-empty Number): ten, tym, tej, tego, ta, to, tę, jakiś, każdy, mój

Paradigm ten	Sing	Plur
Case=Acc|Gender=Masc|SubGender=Masc1	tego	tych
Case=Acc|Gender=Masc|SubGender=Masc2	tego	te
Case=Acc|Gender=Masc|SubGender=Masc3	ten, tyn	te
Case=Acc|Gender=Fem	tę, tą, ta, te	te
Case=Acc|Gender=Neut	to, te	te
Case=Dat|Gender=Masc|SubGender=Masc1		tym
Case=Dat|Gender=Fem	tej	tym
Case=Dat|Gender=Neut	temu
Case=Gen|Gender=Masc|SubGender=Masc1	tego	tych
Case=Gen|Gender=Masc|SubGender=Masc2	tego
Case=Gen|Gender=Masc|SubGender=Masc3	tego	tych
Case=Gen|Gender=Fem	tej	tych
Case=Gen|Gender=Neut	tego	tych
Case=Ins|Gender=Masc|SubGender=Masc1	tym
Case=Ins|Gender=Masc|SubGender=Masc2	tym
Case=Ins|Gender=Masc|SubGender=Masc3	tym	tymi
Case=Ins|Gender=Fem	tą	tymi
Case=Ins|Gender=Neut	tym	tymi
Case=Loc|Gender=Masc|SubGender=Masc1	tym
Case=Loc|Gender=Masc|SubGender=Masc3	tym	tych
Case=Loc|Gender=Fem	tej	tych
Case=Loc|Gender=Neut	tym	tych
Case=Nom|Gender=Masc|SubGender=Masc1	ten	ci
Case=Nom|Gender=Masc|SubGender=Masc2	ten	te
Case=Nom|Gender=Masc|SubGender=Masc3	ten	te
Case=Nom|Gender=Fem	ta	te
Case=Nom|Gender=Neut	to	te

NUM

833 NUM tokens (100% of all NUM tokens) have a non-empty value of Number.

The most frequent other feature values with which NUM and Number co-occurred: NumType=Card (828; 99%), Gender=Masc (565; 68%), Case=Acc (561; 67%).

NUM tokens may have the following values of Number:

• Plur (833; 100% of non-empty Number): dwa, dwóch, dwie, trzy, cztery, trzech, obu, pięć, czterech, dwadzieścia

Number seems to be lexical feature of NUM. 100% lemmas (178) occur only with one value of Number.

Relations with Agreement in Number

The 10 most frequent relations where parent and child node agree in Number: NOUN –[amod]–> ADJ (5636; 100%), VERB –[nsubj]–> NOUN (5078; 89%), VERB –[obl]–> NOUN (4903; 56%), NOUN –[det]–> DET (2564; 99%), VERB –[aux:clitic]–> AUX (1643; 100%), VERB –[nsubj]–> PROPN (1363; 96%), VERB –[conj]–> VERB (1337; 81%), VERB –[nsubj]–> PRON (1300; 96%), NOUN –[nmod:poss]–> NOUN (961; 66%), NOUN –[nmod]–> NOUN (915; 67%).

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