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Treebank Statistics: UD_Serbian-SET: POS Tags: PRON

There are 15 PRON lemmas (0%), 58 PRON types (0%) and 2403 PRON tokens (2%). Out of 17 observed tags, the rank of PRON is: 14 in number of lemmas, 10 in number of types and 12 in number of tokens.

The 10 most frequent PRON lemmas: sebe, on, što, oni, mi, ja, ko, niko, ništa, šta

The 10 most frequent PRON types: se, on, što, ona, oni, ga, mi, ih, šta, im

The 10 most frequent ambiguous lemmas: što (SCONJ 161, PRON 158, PART 2, ADV 1, DET 1), mi (PRON 67, DET 1), ko (PRON 31, DET 6, NOUN 1), nešto (PRON 15, ADV 2)

The 10 most frequent ambiguous types: što (SCONJ 161, PRON 118, PART 2, ADV 1, DET 1), ona (PRON 41, DET 2), oni (PRON 27, DET 14), ko (PRON 18, DET 2), ono (PRON 11, DET 8), nešto (PRON 14, ADV 2), je (AUX 3191, PRON 12), neko (PRON 9, DET 6, SCONJ 1), one (DET 9, PRON 7), koga (PRON 6, NOUN 1)

• što
  • SCONJ 161: ” Moj život nije kao što je bio pre .
  • PRON 118: Žalim što ih , zbog sopstvenih slabosti , nismo ispunili prošle godine .
  • PART 2: Bogdanović je nazvao incident “ terorističkim činom “ , koji bi “ trebalo da bude razotkriven što pre “ .
  • ADV 1: Pametne mašine šalju svoje podatke ili pristupaju podacima drugih pametnih uređaja , a zatim na osnovu toga što optimalnije prilagođavaju svoj rad potrebama korisnika .
  • DET 1: On je takođe izrazio nadu da će dve zemlje zaključiti sporazum o dvojnom državljanstvu u što skorije vreme .
• ona
  • PRON 41: ” Postoji vrlo jasan poslovnik koji važi za sve “ , rekla je ona .
  • DET 2: Za građane , prava kriza je ona socioekonomska .
• oni
  • PRON 27: Na izborima 16. marta oni su se pridružili proevropskoj većini .
  • DET 14: Da bi se oni sprečili , mora se verovati žrtvama .
• ko
  • PRON 18: ” Jahta je spasena od kupovine nekoga ko bi je prodao u staro gvožđe .
  • DET 2: Postavlja se i pitanje , ko treba da ima pristup ovim podacima ?
• ono
  • PRON 11: Alijansa nije više ono što je bila za vreme Hladnog rata .
  • DET 8: To je trebalo da bude minut za mir i ne želim da ono što radimo sada bude ispolitizovano “ , rekao je Bošković .
• nešto
  • PRON 14: ” Ako želite da dobijete nešto [ kao manjina ] morate to da tražite .
  • ADV 2: Dragica Živanović , 32 , smatra da će poslodavci biti nešto obazriviji na početku sprovođenja zakona .
• je
  • AUX 3191: Esat Beriša je jedan takav primer .
  • PRON 12: ” Jahta je spasena od kupovine nekoga ko bi je prodao u staro gvožđe .
• neko
  • PRON 9: To što neko dokazuje da je neko drugi loš , nikako ne znači da je taj koji dokazuje dobar .
  • DET 6: Nije slučajno Musolini zahvaljujući brzim i tačnim vozovima neko vreme bio miljenik nacije .
  • SCONJ 1: On je objasnio da “ ako neko stalno provocira poslanike kršeći njihova prava , izmišlja pravila , tendenciozno krši poslovnik i prekida poslanike , onda je to zaista prekršilo svaku meru “ .
• one
  • DET 9: Ovo je ne EULEKS-u , a ne EU “ , navele su one u zajedničkom saopštenju .
  • PRON 7: Od 2004. one pružaju besplatnu pravnu pomoć žrtvama .
• koga
  • PRON 6: ” Ona je predivna nežna devojka koja neće povrediti bilo koga i ja je volim “ , rekla je ona .
  • NOUN 1: Edis Velić osuđen je zbog toga što je prošle godine iz vatrenog oružja ubio uličnog prodavca , dok je Rijad Rustempašić navodno verni pristalica Jusufa Barčića , za koga se veruje da je vođa Vehabija u BiH , koji je prošle godine poginuo u saobraćajnoj nesreći .

Morphology

The form / lemma ratio of PRON is 3.866667 (the average of all parts of speech is 1.845258).

The 1st highest number of forms (16) was observed with the lemma “on”: Njime, ga, je, joj, ju, mu, nje, njega, njemu, njim, njoj, njom, nju, on, ona, ono.

The 2nd highest number of forms (7) was observed with the lemma “oni”: ih, im, njih, njima, ona, one, oni.

The 3rd highest number of forms (5) was observed with the lemma “ja”: Meni, ja, me, mene, mi.

PRON occurs with 7 features: Case (2403; 100% instances), PronType (2403; 100% instances), Reflex (1451; 60% instances), Gender (749; 31% instances), Number (684; 28% instances), Person (682; 28% instances), Animacy (1; 0% instances)

PRON occurs with 21 feature-value pairs: Animacy=Anim, Case=Acc, Case=Dat, Case=Gen, Case=Ins, Case=Loc, Case=Nom, Gender=Fem, Gender=Masc, Gender=Neut, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, PronType=Ind, PronType=Int,Rel, PronType=Neg, PronType=Prs, PronType=Tot, Reflex=Yes

PRON occurs with 63 feature combinations. The most frequent feature combination is Case=Acc|PronType=Prs|Reflex=Yes (1433 tokens). Examples: se, sebe

Relations

PRON nodes are attached to their parents using 17 different relations: expl (1424; 59% instances), nsubj (543; 23% instances), obl (206; 9% instances), obj (167; 7% instances), nmod (17; 1% instances), conj (8; 0% instances), fixed (8; 0% instances), root (8; 0% instances), det (6; 0% instances), acl (5; 0% instances), compound (3; 0% instances), discourse (3; 0% instances), advcl (1; 0% instances), appos (1; 0% instances), ccomp (1; 0% instances), orphan (1; 0% instances), parataxis (1; 0% instances)

Parents of PRON nodes belong to 12 different parts of speech: VERB (2149; 89% instances), ADJ (100; 4% instances), NOUN (78; 3% instances), ADV (37; 2% instances), AUX (11; 0% instances), (8; 0% instances), PRON (7; 0% instances), ADP (6; 0% instances), DET (2; 0% instances), PART (2; 0% instances), PROPN (2; 0% instances), NUM (1; 0% instances)

2214 (92%) PRON nodes are leaves.

137 (6%) PRON nodes have one child.

23 (1%) PRON nodes have two children.

29 (1%) PRON nodes have three or more children.

The highest child degree of a PRON node is 7.

Children of PRON nodes are attached using 22 different relations: case (120; 41% instances), punct (32; 11% instances), acl (27; 9% instances), conj (15; 5% instances), cop (13; 4% instances), amod (12; 4% instances), discourse (12; 4% instances), nsubj (12; 4% instances), cc (9; 3% instances), advmod (8; 3% instances), nmod (6; 2% instances), det:numgov (5; 2% instances), nummod:gov (5; 2% instances), appos (4; 1% instances), orphan (4; 1% instances), det (3; 1% instances), aux (2; 1% instances), mark (2; 1% instances), parataxis (2; 1% instances), ccomp (1; 0% instances), obj (1; 0% instances), obl (1; 0% instances)

Children of PRON nodes belong to 15 different parts of speech: ADP (115; 39% instances), PUNCT (32; 11% instances), NOUN (25; 8% instances), VERB (20; 7% instances), ADJ (17; 6% instances), AUX (17; 6% instances), CCONJ (13; 4% instances), ADV (11; 4% instances), DET (11; 4% instances), PART (8; 3% instances), SCONJ (8; 3% instances), PRON (7; 2% instances), NUM (5; 2% instances), PROPN (5; 2% instances), X (2; 1% instances)

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