PRON

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`PRON`: pronoun

Definition

Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context.

Pronouns under this definition function like nouns.

The BulTreeBank annotation scheme adopted the idea that pro-nouns, pro-adjectives and pro-adverbs are labeled as Pronouns. However, for the mapping to the universal tagset, this group was split into several parts-of-speech: determiners, adverbs, pronouns.

The tags that correspond to Pron are: Pp#, Pde#, Pre#, Pce#, Pie#, Pfe#, Pfy#, Pne#, Piy#.

Examples

personal pronouns (Pp#): аз, ти, той, тя, то, ние, те, него, го / az, ti, toy, tya, to, nie, te, nego, go “I, you, he, she, it, we, they, him.LONG.FORM, him.SHORT.FORM”
reflexive personal pronouns (Ppx#): себе си, се / sebe si, se “myself, yourself, himself, herself, itself, ourselves, yourselves, theirselves”
demonstrative pronouns (Pde#): този, това / tozi, tova “this” as in Видях това вчера. / Vidyah tova vchera “I saw this yesterday.”
interrogative pronouns (Pie#, Piy#): кой, какво, колцина / _koy, kakvo, koltsina “who, what, how many” as in Какво мислиш? / _Kakvo mislish? “What do you think?”
relative pronouns (Pre#): който, каквото / _koyto, kakvoto “who, what” as in Човекът, който дойде, е баща ми. /Chovekat, koyto doyde, e bashta mi “The person who came is my father.”
indefinite pronouns (Pfe#, Pfy#): някой, нещо, неколцина / nyakoy, neshto, nekoltsina “somebody, something, some, anybody, anything, any”
collective pronouns (Pce#): всеки, всичко / vseki, vsichko “everybody, everything”
negative pronouns (Pne#): никой, нищо / nikoy, nishto “nobody, nothing”

Note that the symbol `#’, used in the Universal POS section indicates a holder for arbitrary number of features, suppressed in the respective tag as irrelevant in the BulTreeBank tagset, when mapped to the Universal one.

Treebank Statistics (UD_Bulgarian)

There are 24 PRON lemmas (0%), 70 PRON types (0%) and 9113 PRON tokens (6%). Out of 16 observed tags, the rank of PRON is: 10 in number of lemmas, 8 in number of types and 6 in number of tokens.

The 10 most frequent PRON lemmas: аз, се, който, свой, този, мой, наш, неин, техен, всеки

The 10 most frequent PRON types: се, си, това, той, му, които, го, ни, те, който

The 10 most frequent ambiguous lemmas: който (PRON 921, DET 6), свой (PRON 556, DET 113), този (DET 708, PRON 479), мой (PRON 334, DET 147), наш (DET 168, PRON 152), всеки (DET 250, PRON 102), никой (PRON 88, DET 20), някой (PRON 87, DET 84), кой (PRON 84, DET 18, PROPN 1), си (PRON 51, PART 36, PROPN 4)

The 10 most frequent ambiguous types: си (PRON 844, AUX 55, PART 36, VERB 1), това (PRON 256, DET 120), му (PRON 437, PART 1), ни (PRON 256, CCONJ 12), който (PRON 218, DET 3), ми (PRON 147, PART 2), ти (PRON 106, PART 2), я (PRON 117, INTJ 1, PART 1), то (PRON 42, PART 8, CCONJ 1), всичко (PRON 44, DET 5)

си
- PRON 844: Двете сестри започнаха да си шепнат още по-ниско .
- AUX 55: - Ти си весела изглежда .
- PART 36: Съвсем загуби власт над себе си .
- VERB 1: Щастлив съм , че си моя .
това
- PRON 256: Чух го да казва това .
- DET 120: Следствието от това , че е заминал , е очевидно .
му
- PRON 437: На заека му омръзна да студува .
- PART 1: Сега да му мисли министър-председателят
ни
- PRON 256: Нас важни работи ни задържат тука .
- CCONJ 12: За уважение са такива мъже , не ги уплаши ни затвор , ни бой .
който
- PRON 218: Крадецът , който сте Вие , е избягал .
- DET 3: Той влезе във вагона до бюфета , който вагон се оказа празен .
ми
- PRON 147: Искаше ми се да му бях веднага казал .
- PART 2: Подпретнал се оня ми ти Бай Ганьо , крачи ли крачи , станал вир вода .
ти
- PRON 106: Но ти , малкият , не мисли , че се е свършило .
- PART 2: Подпретнал се оня ми ти Бай Ганьо , крачи ли крачи , станал вир вода .
я
- PRON 117: Ти забрави да я търсиш .
- INTJ 1: Още от първия ред преглътна , я виж …
- PART 1: Хайде , я разправи днес какво ви предава учителят .
то
- PRON 42: С плахи , крадливи стъпки то стигна сред поляната .
- PART 8: И то в посока , която да облекчи хода на военната реформа и да укрепи армията .
- CCONJ 1: Ако се докажат запасите , то ще може да задоволява нуждите на България от газ в продължение на две години .
всичко
- PRON 44: Глупецът е дързък , над всичко се смее , но само да мисли не смее .
- DET 5: По думите му това е големият урок от всичко , което се случи .

Morphology

The form / lemma ratio of PRON is 2.916667 (the average of all parts of speech is 1.709615).

The 1st highest number of forms (30) was observed with the lemma “аз”: аз, вас, ви, вие, ги, го, им, й, ме, мен, мене, ми, му, нас, него, нему, нея, ни, ние, ний, те, теб, тебе, ти, то, той, тя, тям, тях, я.

The 2nd highest number of forms (6) was observed with the lemma “който”: дето, когото, което, които, който, която.

The 3rd highest number of forms (5) was observed with the lemma “кой”: кого, кое, кои, кой, коя.

PRON occurs with 9 features: bg-feat/PronType (9113; 100% instances), bg-feat/Case (8282; 91% instances), bg-feat/Number (4827; 53% instances), bg-feat/Person (3804; 42% instances), bg-feat/Reflex (3510; 39% instances), bg-feat/Gender (2934; 32% instances), bg-feat/Poss (1362; 15% instances), bg-feat/Definite (108; 1% instances), bg-feat/Animacy (42; 0% instances)

PRON occurs with 23 feature-value pairs: Animacy=Anim, Case=Acc, Case=Dat, Case=Nom, Definite=Def, Definite=Ind, Gender=Fem, Gender=Masc, Gender=Neut, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Poss=Yes, PronType=Dem, PronType=Ind, PronType=Int, PronType=Neg, PronType=Prs, PronType=Rel, PronType=Tot, Reflex=Yes

PRON occurs with 71 feature combinations. The most frequent feature combination is Case=Acc|PronType=Prs|Reflex=Yes (2666 tokens). Examples: се, себе, с…

Relations

PRON nodes are attached to their parents using 21 different relations: bg-dep/expl (3060; 34% instances), bg-dep/nsubj (2199; 24% instances), bg-dep/det (1309; 14% instances), bg-dep/obj (1037; 11% instances), bg-dep/iobj (671; 7% instances), bg-dep/obl (381; 4% instances), bg-dep/nmod (184; 2% instances), bg-dep/nsubj:pass (164; 2% instances), bg-dep/root (55; 1% instances), bg-dep/conj (9; 0% instances), bg-dep/ccomp (8; 0% instances), bg-dep/discourse (7; 0% instances), bg-dep/case (6; 0% instances), bg-dep/advcl (5; 0% instances), bg-dep/acl (4; 0% instances), bg-dep/fixed (4; 0% instances), bg-dep/parataxis (4; 0% instances), bg-dep/xcomp (3; 0% instances), bg-dep/appos (1; 0% instances), bg-dep/csubj (1; 0% instances), bg-dep/csubj:pass (1; 0% instances)

Parents of PRON nodes belong to 12 different parts of speech: VERB (6886; 76% instances), NOUN (1401; 15% instances), ADJ (608; 7% instances), ADV (78; 1% instances), ROOT (55; 1% instances), DET (27; 0% instances), PRON (25; 0% instances), NUM (17; 0% instances), PART (6; 0% instances), PROPN (6; 0% instances), ADP (2; 0% instances), INTJ (2; 0% instances)

8135 (89%) PRON nodes are leaves.

848 (9%) PRON nodes have one child.

58 (1%) PRON nodes have two children.

72 (1%) PRON nodes have three or more children.

The highest child degree of a PRON node is 8.

Children of PRON nodes are attached using 21 different relations: bg-dep/case (848; 67% instances), bg-dep/punct (87; 7% instances), bg-dep/cop (61; 5% instances), bg-dep/nsubj (54; 4% instances), bg-dep/advmod (44; 4% instances), bg-dep/fixed (39; 3% instances), bg-dep/cc (36; 3% instances), bg-dep/conj (23; 2% instances), bg-dep/nmod (20; 2% instances), bg-dep/aux (9; 1% instances), bg-dep/acl (7; 1% instances), bg-dep/amod (6; 0% instances), bg-dep/mark (5; 0% instances), bg-dep/advcl (3; 0% instances), bg-dep/appos (3; 0% instances), bg-dep/det (3; 0% instances), bg-dep/nummod (3; 0% instances), bg-dep/discourse (2; 0% instances), bg-dep/iobj (2; 0% instances), bg-dep/csubj (1; 0% instances), bg-dep/expl (1; 0% instances)

Children of PRON nodes belong to 15 different parts of speech: ADP (848; 67% instances), PUNCT (87; 7% instances), AUX (71; 6% instances), NOUN (62; 5% instances), PART (44; 4% instances), CCONJ (37; 3% instances), ADV (36; 3% instances), PRON (25; 2% instances), VERB (13; 1% instances), ADJ (9; 1% instances), PROPN (9; 1% instances), DET (5; 0% instances), SCONJ (5; 0% instances), INTJ (3; 0% instances), NUM (3; 0% instances)