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Treebank Statistics: UD_Latvian-LVTB: POS Tags: ADV

There are 1191 ADV lemmas (5%), 1285 ADV types (2%) and 18358 ADV tokens (6%). Out of 17 observed tags, the rank of ADV is: 5 in number of lemmas, 5 in number of types and 4 in number of tokens.

The 10 most frequent ADV lemmas: kad, jau, daudz, kā, tad, vēl, ļoti, kur, tā, tik

The 10 most frequent ADV types: kad, jau, kā, tad, vēl, ļoti, kur, tā, vairāk, daudz

The 10 most frequent ambiguous lemmas: jau (ADV 706, PART 203), kā (SCONJ 958, ADV 603, CCONJ 247, PART 94), tad (ADV 549, PART 93), vēl (ADV 543, PART 53, SCONJ 1), tā (DET 1384, ADV 434, SCONJ 48, PART 35, CCONJ 11, PRON 2), tik (ADV 305, PART 29), labi (ADV 277, ADJ 1), tur (ADV 251, PART 6), atkal (ADV 168, PART 1), bieži (ADV 153, ADJ 1)

The 10 most frequent ambiguous types: kad (ADV 574, SCONJ 1), jau (ADV 636, PART 203), kā (SCONJ 889, ADV 431, CCONJ 239, PART 94, PRON 34), tad (ADV 452, PART 77), vēl (ADV 492, PART 50, VERB 2, SCONJ 1), tā (DET 585, ADV 352, PART 23, SCONJ 13, CCONJ 10, PRON 1), tik (ADV 296, PART 27, AUX 1), tur (ADV 191, VERB 9, PART 6), labi (ADV 151, ADJ 10), atkal (ADV 162, PART 1)

• kad
  • ADV 574: Miers pasaulē būs tad , kad nebūs vairs neviena suņa un nevienas nātres .
  • SCONJ 1: Cilvēki bija tādā ballīšu noskaņojumā , kad apsargiem nācās visus dzīt ārā no teritorijas , bet visi gribēja turpināt dejot .
• jau
  • ADV 636: Viņš par to jau bija iedomājies .
  • PART 203: Ne jau jūsu dēļ es baidos ar jums tikties .
• kā
  • SCONJ 889: Tā bija kā īslaicīga apmātība .
  • ADV 431: Tu redzi , kā sarunājas ?
  • CCONJ 239: Vajag pacietīgi meklēt un atrast , kā arī otram dot , nevis ņemt .
  • PART 94: Viss stāvs it kā strauji novīta - kā puķe vāzē .
  • PRON 34: Ne no kā nenākas atteikties .
• tad
  • ADV 452: Miers pasaulē būs tad , kad nebūs vairs neviena suņa un nevienas nātres .
  • PART 77: Kāpēc tad cilvēkam kājas dotas ?
• vēl
  • ADV 492: Dabūšu pārējo , vēl atdošu .
  • PART 50: Vēlos vēl piebilst , ka viņa ir tetovētāja , kas ir ļoti interesanti .
  • VERB 2: Perija par to tikai pasmejas un vēl konkurentei veiksmi karjerā .
  • SCONJ 1: Bet es klusēju , kā vēl nebiju klusējis .
• tā
  • DET 585: - Klau , tā sieviete .
  • ADV 352: Kā tu tā , bračkiņ ?!
  • PART 23: - Nu nav taču kur , jau tā kājas slapjas .
  • SCONJ 13: Viņai ir negatīvais rēzuss , tā ka jūs nākat kā saukts .
  • CCONJ 10: Kā pirka lepnas mājas par skaidru naudu agrāk , tā pērk tagad .
  • PRON 1: Vai tā varēja būt patiesība ?
• tik
  • ADV 296: Kā tu tā , tik neuzmanīgi …
  • PART 27: ” Pēc dižošanās visi ceļi ved tik vienam mērķim .
  • AUX 1: Pat ja Apotheka veselības telpā veikto mērījumu rezultāti neiekļausies normās , labā ziņa ir tā , ka problēmas tik laicīgi diagnosticētas un Apotheka pieredzējušais personāls spēs ieteikt nākamos rīcības soļus problēmu risinājumam .
• tur
  • ADV 191: Ja benzīnu tur nepārdos , tad vismaz naktsmājas dabūšu .
  • VERB 9: Viņš tur sievieti apskautu ilgi , pieri piespiedis plecam .
  • PART 6: Uz kaut kādu tur Zilupi , šķūnī .
• labi
  • ADV 151: - Aha , labi .
  • ADJ 10: Ja jauna gada dienā vējš ābeles purina , tad vasarā būs labi augļi .
• atkal
  • ADV 162: Es atkal piedāvāju cigareti , viņa neatteicās .
  • PART 1: Cits atkal zina ko tādu , ko tas viens nav pat iedomājies .

Morphology

The form / lemma ratio of ADV is 1.078925 (the average of all parts of speech is 2.339090).

The 1st highest number of forms (4) was observed with the lemma “maz”: maz, mazāk, mazāks, vismazāk.

The 2nd highest number of forms (3) was observed with the lemma “augsti”: Augsi, augsti, augstāk.

The 3rd highest number of forms (3) was observed with the lemma “bieži”: bieži, biežāk, visbiežāk.

ADV occurs with 5 features: Degree (5509; 30% instances), PronType (4625; 25% instances), Abbr (52; 0% instances), Typo (29; 0% instances), NumType (21; 0% instances)

ADV occurs with 13 feature-value pairs: Abbr=Yes, Degree=Cmp, Degree=Pos, Degree=Sup, NumType=Mult, PronType=Dem, PronType=Ind, PronType=Ind,Neg, PronType=Int, PronType=Int,Neg, PronType=Neg, PronType=Tot, Typo=Yes

ADV occurs with 17 feature combinations. The most frequent feature combination is _ (8135 tokens). Examples: jau, vēl, ļoti, tāpēc, kopā, savukārt, vairs, atkal, vismaz, gandrīz

Relations

ADV nodes are attached to their parents using 25 different relations: advmod (15955; 87% instances), root (496; 3% instances), conj (436; 2% instances), discourse (252; 1% instances), case (244; 1% instances), advcl (231; 1% instances), orphan (207; 1% instances), ccomp (134; 1% instances), dep (101; 1% instances), cc (74; 0% instances), xcomp (65; 0% instances), acl (44; 0% instances), flat (33; 0% instances), mark (23; 0% instances), obl (14; 0% instances), csubj (11; 0% instances), parataxis (10; 0% instances), iobj (9; 0% instances), nsubj (7; 0% instances), flat:name (4; 0% instances), nmod (4; 0% instances), csubj:pass (1; 0% instances), fixed (1; 0% instances), obj (1; 0% instances), reparandum (1; 0% instances)

Parents of ADV nodes belong to 17 different parts of speech: VERB (12582; 69% instances), NOUN (1581; 9% instances), ADV (1430; 8% instances), ADJ (1429; 8% instances), (496; 3% instances), NUM (376; 2% instances), DET (209; 1% instances), PRON (134; 1% instances), PROPN (91; 0% instances), AUX (11; 0% instances), PART (7; 0% instances), SYM (4; 0% instances), X (3; 0% instances), SCONJ (2; 0% instances), ADP (1; 0% instances), CCONJ (1; 0% instances), INTJ (1; 0% instances)

14692 (80%) ADV nodes are leaves.

2268 (12%) ADV nodes have one child.

497 (3%) ADV nodes have two children.

901 (5%) ADV nodes have three or more children.

The highest child degree of a ADV node is 10.

Children of ADV nodes are attached using 31 different relations: punct (1535; 22% instances), advmod (1124; 16% instances), cop (606; 8% instances), discourse (553; 8% instances), advcl (512; 7% instances), conj (427; 6% instances), cc (379; 5% instances), obl (353; 5% instances), iobj (350; 5% instances), csubj (319; 4% instances), nsubj (259; 4% instances), mark (173; 2% instances), fixed (108; 2% instances), advmod:emph (90; 1% instances), acl (71; 1% instances), advmod:neg (66; 1% instances), dep (49; 1% instances), flat (38; 1% instances), case (31; 0% instances), ccomp (24; 0% instances), parataxis (22; 0% instances), orphan (11; 0% instances), aux (8; 0% instances), nmod (6; 0% instances), amod (5; 0% instances), obj (5; 0% instances), det (3; 0% instances), goeswith (3; 0% instances), nummod (3; 0% instances), vocative (3; 0% instances), xcomp (1; 0% instances)

Children of ADV nodes belong to 17 different parts of speech: PUNCT (1535; 22% instances), ADV (1430; 20% instances), VERB (874; 12% instances), NOUN (736; 10% instances), PART (684; 10% instances), AUX (618; 9% instances), CCONJ (368; 5% instances), SCONJ (290; 4% instances), DET (264; 4% instances), PRON (134; 2% instances), ADJ (70; 1% instances), PROPN (66; 1% instances), ADP (31; 0% instances), NUM (13; 0% instances), INTJ (9; 0% instances), X (9; 0% instances), SYM (6; 0% instances)

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