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Treebank Statistics: UD_Latvian-LVTB: POS Tags: ADV

There are 1129 ADV lemmas (5%), 1213 ADV types (2%) and 15990 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, daudz, vairāk

The 10 most frequent ambiguous lemmas: jau (ADV 642, PART 168), kā (SCONJ 789, ADV 543, CCONJ 220, PART 80), tad (ADV 473, PART 74), vēl (ADV 456, PART 42), tā (PRON 884, ADV 373, DET 324, SCONJ 44, PART 31, CCONJ 10), tik (ADV 257, PART 25), labi (ADV 250, ADJ 1), tur (ADV 214, PART 6), īpaši (ADV 119, ADJ 1), te (ADV 105, CCONJ 10, PART 7)

The 10 most frequent ambiguous types: kad (ADV 504, SCONJ 1), jau (ADV 575, PART 168), kā (SCONJ 734, ADV 388, CCONJ 212, PART 80, PRON 25, DET 7), tad (ADV 393, PART 61), vēl (ADV 413, PART 40, VERB 2), tā (PRON 368, ADV 303, DET 156, PART 20, SCONJ 13, CCONJ 10), tik (ADV 248, PART 23, AUX 1), tur (ADV 161, VERB 9, PART 6), labi (ADV 137, ADJ 8), īpaši (ADV 111, ADJ 2)

• kad
  • ADV 504: 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 575: Viņš par to jau bija iedomājies .
  • PART 168: Ne jau jūsu dēļ es baidos ar jums tikties .
• kā
  • SCONJ 734: Tā bija kā īslaicīga apmātība .
  • ADV 388: Tu redzi , kā sarunājas ?
  • CCONJ 212: „ Man šeit patīk , kā arī ir iespēja nopelnīt .
  • PART 80: Viss stāvs it kā strauji novīta - kā puķe vāzē .
  • PRON 25: Ne no kā nenākas atteikties .
  • DET 7: Iespējams , vīrietis tā nogulējis diennakti , kā rezultātā viņš pamatīgi nosalis .
• tad
  • ADV 393: Miers pasaulē būs tad , kad nebūs vairs neviena suņa un nevienas nātres .
  • PART 61: Kāpēc tad cilvēkam kājas dotas ?
• vēl
  • ADV 413: Dabūšu pārējo , vēl atdošu .
  • PART 40: Vēlos vēl piebilst , ka viņa ir tetovētāja , kas ir ļoti interesanti .
  • VERB 2: Perija par to tikai pasmejas un vēl konkurentei veiksmi karjerā .
• tā
  • PRON 368: Es zināju , ka tā ir nejauka provokācija .
  • ADV 303: Kā tu tā , bračkiņ ?!
  • DET 156: - Klau , tā sieviete .
  • PART 20: - 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 .
• tik
  • ADV 248: Kā tu tā , tik neuzmanīgi …
  • PART 23: ” 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 161: 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 137: - Aha , labi .
  • ADJ 8: Ja jauna gada dienā vējš ābeles purina , tad vasarā būs labi augļi .
• īpaši
  • ADV 111: It īpaši pēdējie notikumi un pēdējās nedēļas notikumi .
  • ADJ 2: Izstādē darbībā varēs vērot arī Latvijā ražotus 3D printerus , kas ir īpaši ar savu augsto precizitāti .

Morphology

The form / lemma ratio of ADV is 1.074402 (the average of all parts of speech is 2.305217).

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 (4738; 30% instances), PronType (4022; 25% instances), Typo (27; 0% instances), Abbr (18; 0% instances), NumType (16; 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 _ (7181 tokens). Examples: jau, vēl, ļoti, tāpēc, savukārt, kopā, vairs, atkal, vismaz, gandrīz

Relations

ADV nodes are attached to their parents using 24 different relations: advmod (13938; 87% instances), root (424; 3% instances), conj (373; 2% instances), case (223; 1% instances), discourse (201; 1% instances), orphan (187; 1% instances), advcl (129; 1% instances), ccomp (122; 1% instances), obl (105; 1% instances), dep (79; 0% instances), cc (61; 0% instances), xcomp (59; 0% instances), compound (24; 0% instances), acl (22; 0% instances), mark (9; 0% instances), parataxis (9; 0% instances), nmod (8; 0% instances), csubj (6; 0% instances), nsubj (5; 0% instances), iobj (2; 0% instances), csubj:pass (1; 0% instances), fixed (1; 0% instances), flat (1; 0% instances), flat:name (1; 0% instances)

Parents of ADV nodes belong to 17 different parts of speech: VERB (11064; 69% instances), NOUN (1383; 9% instances), ADV (1211; 8% instances), ADJ (1203; 8% instances), (424; 3% instances), NUM (308; 2% instances), PRON (216; 1% instances), PROPN (81; 1% instances), DET (71; 0% instances), AUX (11; 0% instances), PART (7; 0% instances), SYM (5; 0% instances), X (2; 0% instances), ADP (1; 0% instances), CCONJ (1; 0% instances), INTJ (1; 0% instances), SCONJ (1; 0% instances)

12815 (80%) ADV nodes are leaves.

1962 (12%) ADV nodes have one child.

430 (3%) ADV nodes have two children.

783 (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 30 different relations: punct (1321; 21% instances), advmod (957; 15% instances), discourse (617; 10% instances), cop (523; 8% instances), obl (397; 6% instances), conj (359; 6% instances), advcl (358; 6% instances), cc (330; 5% instances), iobj (313; 5% instances), csubj (285; 5% instances), nsubj (217; 4% instances), mark (126; 2% instances), fixed (95; 2% instances), acl (65; 1% instances), case (52; 1% instances), dep (46; 1% instances), compound (25; 0% instances), ccomp (23; 0% instances), parataxis (18; 0% instances), aux (9; 0% instances), orphan (7; 0% instances), flat (6; 0% instances), nmod (6; 0% instances), amod (5; 0% instances), obj (4; 0% instances), det (3; 0% instances), goeswith (3; 0% instances), nummod (2; 0% instances), vocative (2; 0% instances), xcomp (2; 0% instances)

Children of ADV nodes belong to 17 different parts of speech: PUNCT (1321; 21% instances), ADV (1211; 20% instances), VERB (768; 12% instances), NOUN (640; 10% instances), PART (599; 10% instances), AUX (536; 9% instances), PRON (343; 6% instances), CCONJ (320; 5% instances), SCONJ (257; 4% instances), PROPN (58; 1% instances), ADJ (57; 1% instances), ADP (27; 0% instances), NUM (14; 0% instances), INTJ (9; 0% instances), X (7; 0% instances), SYM (6; 0% instances), DET (3; 0% instances)

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