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Treebank Statistics: UD_Serbian-SET: POS Tags: VERB

There are 1268 VERB lemmas (12%), 3069 VERB types (16%) and 8413 VERB tokens (9%). Out of 17 observed tags, the rank of VERB is: 4 in number of lemmas, 3 in number of types and 5 in number of tokens.

The 10 most frequent VERB lemmas: reći, moći, imati, kazati, trebati, morati, izjaviti, dobiti, postati, postojati

The 10 most frequent VERB types: rekao, kaže, izjavio, trebalo, ima, može, treba, mora, mogu, rekla

The 10 most frequent ambiguous lemmas: reći (VERB 405, ADV 8, ADJ 2), imati (VERB 188, ADV 2), dobiti (VERB 85, ADJ 2, ADV 1), očekivati (VERB 65, ADJ 2), raditi (VERB 62, ADJ 1), početi (VERB 59, ADV 1), saopštiti (VERB 58, ADJ 4), koristiti (VERB 51, ADJ 7, ADV 2), predstavljati (VERB 50, ADV 1), navoditi (VERB 48, ADV 3)

The 10 most frequent ambiguous types: mora (VERB 59, NOUN 13), radi (VERB 26, ADP 10), nalaze (VERB 18, NOUN 1), poziva (VERB 18, NOUN 3), koristi (VERB 15, NOUN 4), vode (VERB 15, NOUN 13), pomoći (NOUN 12, VERB 12), moći (VERB 11, NOUN 2), odnose (NOUN 13, VERB 11), vodi (VERB 11, NOUN 4)

• mora
  • VERB 59: Da bi se oni sprečili , mora se verovati žrtvama .
  • NOUN 13: Oni su razgovarali o bezbednosnim pitanjima u regionu Crnog mora .
• radi
  • VERB 26: Morala bih da dam otkaz i ostavim decu i provedem mesec dana da proučim i shvatim ko šta radi . “
  • ADP 10: Liberalizacija režima azila jedan je od kriterijuma koji se moraju ispuniti radi usklađivanja sa EU standardima .
• nalaze
  • VERB 18: Pretpostavlja se da se u Poljskoj nalaze neka od najvećih nalazišta uljanog škriljca u Evropi .
  • NOUN 1: Ta ustanova objavila je saopštenje u kome kaže da je svoje nalaze podnela predsedništvu .
• poziva
  • VERB 18: EPP poziva na obnovu napora za rešavanje pitanja Kipra
  • NOUN 3: Zbog nedobijanja poziva za NATO Makedonija ubrzava pregovore u sporu oko imena
• koristi
  • VERB 15: Posebno objektom , dodao je Dimitrov , koji koristi zastarelu rusku tehnologiju .
  • NOUN 4: Ta partnerstva su , međutim , nedovoljno definisana kada se radi o konkretnoj ekonomskoj saradnji i obostranoj koristi .
• vode
  • VERB 15: ” Lideri moraju da vode , a ne samo da prate svoje pristalice . “
  • NOUN 13: Ali upišu se kao žig , i struje duboko u svesti čitaoca poput vode pod zaleđenom površinom reke .
• pomoći
  • NOUN 12: Svaka porodica može da dobije do otprilike 500 evra pomoći .
  • VERB 12: ” SAD će vam pomoći da prođete kroz ta vrata “ .
• moći
  • VERB 11: Grčka se nada da će moći da počne nove pregovore sa Velikom Britanijom .
  • NOUN 2: Upitan da li misli da srpske vlasti čine sve što je u njihovoj moći da pronađu i uhapse Mladića , Grosman je odgovorio : “ Mnogo više mora da se uradi , jer Mladić mora biti uhapšen .
• odnose
  • NOUN 13: Oni su se složili da nastave da razvijaju bilateralne ekonomske odnose .
  • VERB 11: Visoke cene odnose ogroman deo plata Srba .
• vodi
  • VERB 11: Već godinama se vodi žestoka rasprava oko kursa srpskog dinara u odnosu na evro .
  • NOUN 4: Jahta nekadašnjeg diktatora biće renovirana u muzej na vodi .

Morphology

The form / lemma ratio of VERB is 2.420347 (the average of all parts of speech is 1.845258).

The 1st highest number of forms (12) was observed with the lemma “dobiti”: dobije, dobijemo, dobijete, dobiju, dobila, dobile, dobili, dobilo, dobio, dobiti, dobiće, dobićemo.

The 2nd highest number of forms (12) was observed with the lemma “imati”: ima, imaju, imala, imale, imali, imalo, imam, imamo, imao, imate, imati, imaće.

The 3rd highest number of forms (11) was observed with the lemma “dati”: da, daju, dala, dale, dali, dam, damo, dao, dati, daće, dâ.

VERB occurs with 7 features: VerbForm (8413; 100% instances), Number (7771; 92% instances), Tense (7761; 92% instances), Mood (4419; 53% instances), Person (4419; 53% instances), Gender (3352; 40% instances), Voice (3352; 40% instances)

VERB occurs with 17 feature-value pairs: Gender=Fem, Gender=Masc, Gender=Neut, Mood=Imp, Mood=Ind, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Tense=Fut, Tense=Past, Tense=Pres, VerbForm=Fin, VerbForm=Inf, VerbForm=Part, Voice=Act

VERB occurs with 21 feature combinations. The most frequent feature combination is Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin (2605 tokens). Examples: kaže, ima, može, treba, mora, navodi, postoji, očekuje, nema, smatra

Relations

VERB nodes are attached to their parents using 17 different relations: root (3154; 37% instances), acl (1338; 16% instances), ccomp (978; 12% instances), conj (854; 10% instances), parataxis (734; 9% instances), xcomp (578; 7% instances), advcl (574; 7% instances), csubj (174; 2% instances), nsubj (9; 0% instances), appos (5; 0% instances), discourse (4; 0% instances), orphan (4; 0% instances), nmod (2; 0% instances), obj (2; 0% instances), amod (1; 0% instances), dep (1; 0% instances), flat (1; 0% instances)

Parents of VERB nodes belong to 13 different parts of speech: (3154; 37% instances), VERB (3027; 36% instances), NOUN (1385; 16% instances), ADJ (413; 5% instances), ADV (152; 2% instances), DET (104; 1% instances), AUX (81; 1% instances), PROPN (69; 1% instances), PRON (20; 0% instances), PART (3; 0% instances), NUM (2; 0% instances), X (2; 0% instances), SCONJ (1; 0% instances)

36 (0%) VERB nodes are leaves.

175 (2%) VERB nodes have one child.

1142 (14%) VERB nodes have two children.

7060 (84%) VERB nodes have three or more children.

The highest child degree of a VERB node is 11.

Children of VERB nodes are attached using 29 different relations: punct (5833; 17% instances), nsubj (5627; 17% instances), obl (4887; 14% instances), aux (3431; 10% instances), obj (3278; 10% instances), mark (2503; 7% instances), advmod (1453; 4% instances), expl (1405; 4% instances), ccomp (1140; 3% instances), xcomp (1019; 3% instances), conj (834; 2% instances), cc (789; 2% instances), parataxis (592; 2% instances), advcl (535; 2% instances), discourse (265; 1% instances), csubj (79; 0% instances), case (10; 0% instances), nmod (7; 0% instances), nummod (6; 0% instances), acl (5; 0% instances), amod (5; 0% instances), compound (3; 0% instances), orphan (3; 0% instances), cop (2; 0% instances), dep (2; 0% instances), iobj (2; 0% instances), appos (1; 0% instances), nummod:gov (1; 0% instances), vocative (1; 0% instances)

Children of VERB nodes belong to 16 different parts of speech: NOUN (10261; 30% instances), PUNCT (5833; 17% instances), AUX (3490; 10% instances), VERB (3027; 9% instances), SCONJ (2463; 7% instances), PRON (2149; 6% instances), PROPN (1726; 5% instances), ADV (1637; 5% instances), DET (1213; 4% instances), CCONJ (825; 2% instances), ADJ (570; 2% instances), PART (324; 1% instances), X (92; 0% instances), NUM (65; 0% instances), ADP (40; 0% instances), INTJ (3; 0% instances)

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