Statistics of Gender in UD_Old_East

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Treebank Statistics: UD_Old_East_Slavic-Birchbark: Features: `Gender`

This feature is universal. It occurs with 3 different values: Fem, Masc, Neut. Some words have combined values of the feature; 2 combinations have been observed: Fem|Masc, Masc|Neut.

11154 tokens (38%) have a non-empty value of Gender. 8093 types (66%) occur at least once with a non-empty value of Gender. 3220 lemmas (77%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (5442; 18% instances), PROPN (2798; 9% instances), ADJ (888; 3% instances), VERB (868; 3% instances), DET (656; 2% instances), PRON (307; 1% instances), NUM (170; 1% instances), AUX (25; 0% instances).

`NOUN`

5442 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 (3836; 70%).

NOUN tokens may have the following values of Gender:

Fem (2495; 46% of non-empty Gender): ржи, кѹно, соли, грамота, кѹнъ, рожи, гривено, гривьнъ, гривьнѣ, гривна
Masc (2297; 42% of non-empty Gender): поло, поклонъ, полъ, поклоно, гн҃е, конь, пло, рубль, сн҃а, кони
Neut (650; 12% of non-empty Gender): покланѧние, жита, села, серебра, слово, село, целомъ, челомъ, серебро, добро
EMPTY (1): вѣверъ…

Gender seems to be lexical feature of NOUN. 100% lemmas (1015) occur only with one value of Gender.

`PROPN`

2798 PROPN tokens (92% 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 (2681; 96%), NameType=Giv (2357; 84%).

PROPN tokens may have the following values of Gender:

Fem (281; 10% of non-empty Gender): мариѧ, ѧна, маренѣ, настасиѧ, анѣ, куролѣ, лаидиколѣ, лугу, марие, мароѳу
Fem,Masc (1; 0% of non-empty Gender): прибꙑшѣ
Masc (2441; 87% of non-empty Gender): ивана, петра, бориса, евана, павла, смена, степана, завида, лазорѧ, лѹкѣ
Neut (75; 3% of non-empty Gender): городищи, курьѥго, -)[с]ипова, –(-)[и]к–(-)ина, ——скь, —–ина, [гр]од[и], [сл]а[в]…, бабине, бологожь
EMPTY (242): м…, в…, кшетахъ, ли…, малѧтѣ, ньжѧть, нѣжѧтѣ, са…, стоють, т]…

Paradigm Ладога	`Masc`	`Fem`
`Case=Acc`		ладогу
`Case=Gen\|Typo=Yes`	ладо{п}ги

Gender seems to be lexical feature of PROPN. 100% lemmas (1358) occur only with one value of Gender.

`ADJ`

888 ADJ tokens (90% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: NumForm=EMPTY (800; 90%), NumType=EMPTY (800; 90%), Number=Sing (732; 82%), Variant=EMPTY (604; 68%), Poss=EMPTY (596; 67%).

ADJ tokens may have the following values of Gender:

Fem (282; 32% of non-empty Gender): ст҃ѣ, бѣлонога, дворнюю, десѧтаꙗ, добре, новаѧ, пуста, пѧте, пѧть, пѧтѣ
Masc (462; 52% of non-empty Gender): ст҃го, велика, гнѣд, пѧта, бж҃и, виновате, виновати, ворон, добра, добръ
Masc,Neut (1; 0% of non-empty Gender): пътрово
Neut (143; 16% of non-empty Gender): добро, проста, здорово, борзи, борзѣ, годьнъ, лживꙑѧ, (д)анилово, (до)ро[г]а[ѧ], (т)[о]тарьского
EMPTY (97): коневꙑхъ, страднꙑх, (д)митрову, (ко)невꙑхъ, (л)юдними, (с)тар[ѣ]шимъ, (с)траднꙑх, (св)[об]однꙑхо, :[д҃:], :в҃:

Paradigm петровъ	`Masc`	`Masc,Neut`	`Fem`	`Neut`
`Case=Acc\|Poss=Yes`	петръво, пьтровъ		петровѹ
`Case=Acc\|Variant=Short`				петрово
`Case=Dat\|Poss=Yes`	петрову, петровѹ
`Case=Gen\|Poss=Yes\|Variant=Short`	петрова
`Case=Loc\|Poss=Yes`	петрови, петровѣ
`Case=Loc\|Poss=Yes\|Variant=Short`	петрове
`Case=Nom\|Degree=Pos`		пътрово

`VERB`

868 VERB tokens (31% 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 (834; 96%), Tense=Past (782; 90%), Voice=Act (758; 87%), Number=Sing (713; 82%), VerbForm=PartRes (670; 77%), Analyt=EMPTY (620; 71%).

VERB tokens may have the following values of Gender:

Fem (90; 10% of non-empty Gender): дала, взѧла, задѣла, пеюци, рекла, ѧла, (-)шьла, (се)[д]ѧци, —–ила, [бꙑл]а
Masc (711; 82% of non-empty Gender): далъ, възѧле, дале, послале, въдале, взѧле, взѧлъ, послалъ, велѣлъ, взѧлѣ
Neut (67; 8% of non-empty Gender): шло, бꙑло, пошло, диꙗлось, погибло, (пог)[ꙑб]ло, (соро)слосѧ, (шло, -т[ое], [п]окладено
EMPTY (1899): возми, даи, възьми, посли, пришли, присъли, далъ, иди, въдаи, кланѧюсѧ

Paradigm взѧти	`Masc`	`Fem`	`Neut`
`Analyt=Yes\|Number=Sing\|Person=1\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	възѧле, възѧлъ, (в)зѧло, взѧ, взѧлъ, взѧлъ, возѧло
`Analyt=Yes\|Number=Sing\|Person=2\|Tense=Fut\|VerbForm=PartRes\|Voice=Act`		взѧла
`Analyt=Yes\|Number=Sing\|Person=2\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	възѧле, взѧле, въ(зѧ)ль, възалъ, възѧль], вь:зѧлъ, ꙋзѧле
`Analyt=Yes\|Number=Sing\|Person=3\|Tense=Pqp\|VerbForm=PartRes\|Voice=Act`	возѧлъ
`Analyt=Yes\|Number=Dual\|Person=2\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	[в]ъзѧла
`Case=Nom\|Fragment=Yes\|Number=Plur\|Tense=Past\|VerbForm=Part\|Voice=Act`	воз)емоше
`Case=Nom\|Number=Sing\|Person=3\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Act`	въземо
`Case=Nom\|Number=Sing\|Tense=Past\|Variant=Short\|VerbForm=Part\|Voice=Pass`	взѧтъ		возѧто, возѧтъ, възѧто
`Case=Nom\|Number=Sing\|Tense=Past\|VerbForm=Part\|Voice=Act`	взьмъ, взѧв·ъ, воземо, възъмъ	възьмъши
`Case=Nom\|Number=Sing\|Tense=Pres\|VerbForm=Part\|Voice=Act`	възмѧ, възьмѧ
`Number=Sing\|Person=1\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	взѧле, взѧл, взѧлъ, възѧлъ, възѧль
`Number=Sing\|Person=2\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	възѧл[е
`Number=Sing\|Person=3\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	възѧле, взѧле, взѧлъ, взѧлъ, возѧле, возѧло, возѧль, всѧло, възѧлъ, ѹвзѧлъ, ѹзѧле	взѧла
`Number=Sing\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	[въз]ѧ[ле, взѧло, взѧлъ, возѧле, възьль
`Number=Plur\|Person=1\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	взѧлѣ
`Number=Plur\|Person=3\|Tense=Past\|VerbForm=PartRes\|Voice=Act`	взѧлѣ, взѧли, взѧл[и], взѧл, ѹзѧлѣ

`DET`

656 DET tokens (89% 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 (592; 90%), Reflex=EMPTY (562; 86%), Poss=EMPTY (375; 57%).

DET tokens may have the following values of Gender:

Fem (155; 24% of non-empty Gender): свою, моѧ, мою, моѥи, ту, сама, своеи, своѥи, твоѧ, другую
Masc (301; 46% of non-empty Gender): своѥму, мои, свои, моѥго, твои, моѥму, саме, того, самь, моӏ
Neut (200; 30% of non-empty Gender): то, томъ, томо, того, все, мое, тому, томь, [т]о, вохо
EMPTY (85): всихъ, всѣхъ, моими, мъихъ, нашихо, своими, своӏхъ, твоихъ, тими, тꙑх

Paradigm тотъ	`Masc`	`Fem`	`Neut`
`Case=Acc,Gen\|Number=Sing`	того
`Case=Acc\|Fragment=Yes\|Number=Sing`			то, т(о
`Case=Acc\|Number=Sing`	того, то, тото	ту, тꙋ, [т]ѹ	то, [т]о, (т)о, т[о]
`Case=Acc\|Number=Dual`		тѣ
`Case=Acc\|Number=Plur`	тꙑ, тꙑи, тꙑхъ	тѣ, тꙑи	таѧ
`Case=Dat\|Number=Sing`	томѹ, томуо, тъмѹ	тои, то:е	тому, томѹ
`Case=Gen\|Fragment=Yes\|Number=Sing`	того		(т)[о]го
`Case=Gen\|Number=Sing`	того	тои, тоѣ	того, тога, [тог]о, то[го]
`Case=Ins\|Number=Sing`	т[ꙑ](мъ), тиме
`Case=Loc\|Number=Sing`	томо, томъ, томь		томъ, томо, томь, (то)мъ, [т]омь, томо, том
`Case=Nom\|Number=Sing`	тъ, те, то, тъто	та	то, [т]о, [то
`Case=Nom\|Number=Plur`	те, ти, тѣ	тѣ

`PRON`

307 PRON tokens (22% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Clitic=EMPTY (307; 100%), Number=Sing (298; 97%), Person=EMPTY (162; 53%).

PRON tokens may have the following values of Gender:

Fem (20; 7% of non-empty Gender): ю, ее, …ю, [е]и, еи, е]ѥ, еи, еѣ, є̈и, ѥи
Masc (148; 48% of non-empty Gender): ѥго, его, емѹ, него, емꙋ, ѥму, кого, и, нь, комꙋ
Neut (139; 45% of non-empty Gender): что, цто, цето, цо, то, е, цьто, чето, его, ницимъ
EMPTY (1088): ми, сѧ, тꙑ, ти, ѧ, мене, тобѣ, мнѣ, ѧзъ, мѧ

Paradigm и	`Masc`	`Fem`	`Neut`
`Case=Acc,Gen\|Number=Sing\|PronType=Prs`	ѥго, его
`Case=Acc\|Fragment=Yes\|Number=Sing\|PronType=Prs`	н(его), ѥго, …ь	ю, …ю
`Case=Acc\|Number=Sing\|PronType=Prs`	ѥго, его, и, нь, [ѥг]о, ·и·, не, него, ь, ї, ѥ[г]о, ѥг…	ю, ѫ	е, его, не
`Case=Acc\|Number=Sing\|PronType=Prs\|Typo=Yes`	ю
`Case=Acc\|Number=Sing\|PronType=Rel`			нь
`Case=Acc\|Number=Dual\|PronType=Prs`	нѧ
`Case=Acc\|Number=Plur\|PronType=Prs`	ихъ, ӏ, ӏхъ, ꙗ
`Case=Dat\|Number=Sing\|Poss=Yes\|PronType=Prs`	е]му
`Case=Dat\|Number=Sing\|PronType=Prs`	емѹ, емꙋ, ѥму, (-)емꙋ, емо, ему, емѫ, ному, ньмуо, ѥм	[е]и, еи, ее
`Case=Dat\|Number=Plur\|PronType=Prs`	ӏмо
`Case=Gen\|Number=Sing\|PronType=Prs`	ѥго, его, него, ного, єго, ево, егъ, него, ньго, єво, ѥго, ѥг, ѥгоо	е]ѥ, ее, еи, еѣ, є̈и, ѥи, ѥӏ	его
`Case=Gen\|PronType=Prs`	ѥго
`Case=Ins\|Number=Sing\|PronType=Prs`	нимо, нимь, имо, нимъ
`Case=Ins\|Number=Plur\|PronType=Prs`	ним[и
`Case=Loc\|Number=Sing\|PronType=Prs`	немъ, немь, немо, нь[мо], нѣмѣ
`Case=Loc\|Number=Sing\|PronType=Prs\|Typo=Yes`	немь{мь}

`NUM`

170 NUM tokens (14% 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 (158; 93%), NumType=Card (130; 76%), Case=Nom (111; 65%).

NUM tokens may have the following values of Gender:

Fem (113; 66% of non-empty Gender): три, в҃е, двь, дви, дове, двѣ, дови, дъвѣ, две, (т)ри
Masc (51; 30% of non-empty Gender): два, дова, три, ¦в¦, полутора, полътора, полѹтора, (оди)н(о)го, {п}полътора, ¦в¦и
Neut (6; 4% of non-empty Gender): три, два, дова, дъва, одиномо
EMPTY (1050): ·в҃·, ·г҃·, :в҃:, :в:, ·ӏ҃·, три, ·г·, в҃, г҃, :г҃:

Paradigm два	`Masc`	`Fem`	`Neut`
`Case=Acc`	два, дова, дъв(а)	дви, двь, двѣ, дъвь, дъвѣ, (д)[в]е, дове, дови, дъвѣ	два, дова
`Case=Nom\|Fragment=Yes`		д[ъв]…
`Case=Nom`	два, дова	двь, дове, дви, две, дови, двѣ, довѣ, дъвѣ, д)ви, дви, д{в}овѣ, девѣ, дъвѣ, дъв[ѣ], дъве	дъва

`AUX`

25 AUX tokens (6% 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 (25; 100%), VerbForm=PartRes (25; 100%), Tense=Past (24; 96%), Number=Sing (23; 92%), Voice=Act (23; 92%), Person=3 (17; 68%), Analyt=EMPTY (16; 64%).

AUX tokens may have the following values of Gender:

Fem (1; 4% of non-empty Gender): бꙑла
Masc (16; 64% of non-empty Gender): бꙑлъ, бꙑле, бꙑло, б]ꙑ[лъ], бꙑ(ла, бꙑли, бꙑл, …лъ
Neut (8; 32% of non-empty Gender): бꙑло, (бꙑ)ло, [бꙑ]ло, б(ꙑло, б[ꙑ]ло
EMPTY (366): еси, ѥси, есмь, ѥсмь, есте, есть, бꙑ, есемо, есме, ѥсме

Paradigm быти	`Masc`	`Fem`	`Neut`
`Analyt=Yes\|Number=Sing\|Person=1\|Tense=Past\|Voice=Act`	бꙑле, бꙑлъ
`Analyt=Yes\|Number=Sing\|Person=2\|Tense=Past`	бꙑлъ
`Analyt=Yes\|Number=Sing\|Person=3\|Tense=Past\|Voice=Act`	бꙑлъ, бꙑле, бꙑло		бꙑло
`Analyt=Yes\|Number=Plur\|Person=3\|Tense=Past\|Voice=Act`	бꙑли
`Fragment=Yes\|Number=Sing\|Person=3\|Tense=Past\|Voice=Act`	…лъ		(бꙑ)ло, б(ꙑло
`Fragment=Yes\|Number=Dual\|Person=2\|Tense=Fut,Past`	бꙑ(ла
`Number=Sing\|Person=1\|Tense=Past\|Voice=Act`	бꙑле, бꙑло, бꙑлъ, бꙑл
`Number=Sing\|Person=3\|Tense=Past\|Voice=Act`	б]ꙑ[лъ], бꙑлъ	бꙑла	бꙑло, [бꙑ]ло, б[ꙑ]ло

Relations with Agreement in `Gender`

The 10 most frequent relations where parent and child node agree in Gender: PROPN –[conj]–> PROPN (428; 71%), NOUN –[amod]–> ADJ (386; 87%), NOUN –[conj]–> NOUN (333; 57%), NOUN –[det]–> DET (316; 82%), PROPN –[orphan]–> PROPN (123; 81%), NOUN –[appos]–> PROPN (120; 95%), VERB –[conj]–> VERB (97; 59%), VERB –[nsubj]–> PROPN (96; 53%), PROPN –[flat:name]–> ADJ (88; 96%), PROPN –[flat:name]–> PROPN (80; 89%).

Treebank Statistics: UD_Old_East_Slavic-Birchbark: Features: Gender

NOUN

PROPN

ADJ

VERB

DET

PRON

NUM

AUX

Relations with Agreement in Gender