PART

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`PART`: particle

Definition

Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech (e.g. adpositions, coordinating conjunctions, subordinating conjunctions or auxiliary verbs). Particles may encode grammatical categories such as negation, mood, tense etc. Particles are normally not inflected, although exceptions may occur.

In the Bultreebank tagset the following tags map to PART: Tn, Ti, Tx, Tm, Tv, Te and Tg. (Note that Ta is considered INTJ in the universal tagset. The Tn particle не / ne “no” is also considered INTJ).

Examples

negative particle (Tn): нито / nito “neither”
interrogative particles(Ti): ли / li“question particle”
auxiliary particles (Tx): да, ще / da, shte “to, will”
modal particles (Tm): май / may “possibly”
verbal particles (Tv): нека / neka “let”
emphasis particles (Te): даже / dazhe “even”
gradable particles (Tg): най / nay “most”

Treebank Statistics (UD_Bulgarian)

There are 33 PART lemmas (0%), 33 PART types (0%) and 1858 PART tokens (1%). Out of 16 observed tags, the rank of PART is: 8 in number of lemmas, 10 in number of types and 13 in number of tokens.

The 10 most frequent PART lemmas: не, ли, дори, дали, си, пък, нито, ето, нека, дано

The 10 most frequent PART types: не, ли, дори, дали, си, пък, нито, ето, нека, дано

The 10 most frequent ambiguous lemmas: не (PART 1212, INTJ 70), ли (PART 262, PROPN 2), си (PRON 51, PART 36, PROPN 4), нито (PART 28, CCONJ 26), то (PART 9, CCONJ 1), е (PART 6, PROPN 1), ами (PART 5, CCONJ 3), ей (PART 3, PROPN 1), а (CCONJ 246, PROPN 5, NOUN 3, PART 2), май (NOUN 15, PROPN 4, PART 2)

The 10 most frequent ambiguous types: не (PART 1035, INTJ 45), дали (PART 53, VERB 1), си (PRON 844, AUX 55, PART 36, VERB 1), нито (PART 25, CCONJ 22), стига (VERB 7, PART 6), то (PRON 42, PART 8, CCONJ 1), Е (PART 6, PROPN 1), Ами (PART 5, CCONJ 1), А (CCONJ 73, PROPN 4, NOUN 3, PART 2), Та (CCONJ 6, PART 2)

не
- PART 1035: Но ти , малкият , не мисли , че се е свършило .
- INTJ 45: Спрях го , да не би да ме удари .
дали
- PART 53: До края на седмицата ще се разбере , дали Ибраимов ще дойде при нас .
- VERB 1: Жените от бара дали противоречиви показания за сбиването .
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 .
нито
- PART 25: Ще играете ли тото с награди за непознали нито едно число ?
- CCONJ 22: Нито мъка , нито омраза , дори и погнуса не чувствах .
стига
- VERB 7: Ако човек търси само щастието , стига до леснотата .
- PART 6: Не плачи , момчето ми , стига .
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 .
Е
- PART 6: Е , ще видим .
- PROPN 1: Шведското председателство си поставя три приоритета за шестте месеца , трите “ Е “ - Разширяване , Безработица , Околна среда ( Enlargement , Employment , Environment ) .
Ами
- PART 5: Ами наистина ли има хора , които ядат жаби ?
- CCONJ 1: Ами ако в края на краищата пред мен отново застанеше някой полковник ?
А
- CCONJ 73: А на едно място орелът беше с противогаз .
- PROPN 4: ЦСКА плаши “ А “ група с бойкот
- NOUN 3: Най-скъпите са за “ А “ сектор - по 4 лв.
- PART 2: А ?
Та
- CCONJ 6: Та като откъснах главата на пеперудата , тя трепна и замря .
- PART 2: Та думата ми беше , че разбойник не умира .

Morphology

The form / lemma ratio of PART is 1.000000 (the average of all parts of speech is 1.709615).

The 1st highest number of forms (1) was observed with the lemma “а”: А.

The 2nd highest number of forms (1) was observed with the lemma “ами”: Ами.

The 3rd highest number of forms (1) was observed with the lemma “бе”: бе.

PART occurs with 1 features: bg-feat/Polarity (1240; 67% instances)

PART occurs with 1 feature-value pairs: Polarity=Neg

PART occurs with 2 feature combinations. The most frequent feature combination is Polarity=Neg (1240 tokens). Examples: не, нито

Relations

PART nodes are attached to their parents using 9 different relations: bg-dep/advmod (1237; 67% instances), bg-dep/discourse (506; 27% instances), bg-dep/fixed (49; 3% instances), bg-dep/root (47; 3% instances), bg-dep/advcl (6; 0% instances), bg-dep/cc (5; 0% instances), bg-dep/mark (4; 0% instances), bg-dep/conj (3; 0% instances), bg-dep/parataxis (1; 0% instances)

Parents of PART nodes belong to 11 different parts of speech: VERB (1418; 76% instances), NOUN (130; 7% instances), ADJ (90; 5% instances), ADV (75; 4% instances), ROOT (47; 3% instances), PRON (44; 2% instances), DET (23; 1% instances), NUM (11; 1% instances), CCONJ (10; 1% instances), PROPN (6; 0% instances), SCONJ (4; 0% instances)

1778 (96%) PART nodes are leaves.

26 (1%) PART nodes have one child.

42 (2%) PART nodes have two children.

12 (1%) PART nodes have three or more children.

The highest child degree of a PART node is 3.

Children of PART nodes are attached using 11 different relations: bg-dep/punct (77; 53% instances), bg-dep/ccomp (43; 29% instances), bg-dep/cc (8; 5% instances), bg-dep/obj (8; 5% instances), bg-dep/fixed (4; 3% instances), bg-dep/acl (1; 1% instances), bg-dep/advcl (1; 1% instances), bg-dep/advmod (1; 1% instances), bg-dep/conj (1; 1% instances), bg-dep/expl (1; 1% instances), bg-dep/vocative (1; 1% instances)

Children of PART nodes belong to 7 different parts of speech: PUNCT (77; 53% instances), VERB (40; 27% instances), NOUN (10; 7% instances), CCONJ (7; 5% instances), PRON (6; 4% instances), ADJ (4; 3% instances), ADV (2; 1% instances)