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Treebank Statistics: UD_Turkish-Atis: POS Tags: ADV

There are 59 ADV lemmas (6%), 60 ADV types (3%) and 1504 ADV tokens (3%). Out of 14 observed tags, the rank of ADV is: 6 in number of lemmas, 6 in number of types and 5 in number of tokens.

The 10 most frequent ADV lemmas: en, lütfen, erken, ne, hakkında, şimdi, direkt, ilk, nasıl, bugün

The 10 most frequent ADV types: en, lütfen, erken, ne, hakkında, şimdi, direkt, ilk, nasıl, bugün

The 10 most frequent ambiguous lemmas: erken (ADJ 111, ADV 105), ne (X 576, ADJ 118, ADV 90, PRON 62), ilk (ADV 22, ADJ 20), nasıl (ADV 22, ADJ 7), bugün (ADV 16, NOUN 2), sonra (ADP 388, ADV 16, NOUN 10), geç (ADJ 18, ADV 15, VERB 3), geri (ADV 9, ADJ 3, NOUN 1), önce (ADP 168, ADV 8, NOUN 4), çok (ADV 6, ADJ 4, ADP 1)

The 10 most frequent ambiguous types: erken (ADJ 111, ADV 105), ne (ADJ 117, ADV 90, PRON 57), ilk (ADV 22, ADJ 20), nasıl (ADV 22, ADJ 4), bugün (ADV 13, NOUN 1), sonra (ADP 386, ADV 16), geç (ADJ 18, ADV 15), geri (ADV 9, ADJ 3), önce (ADP 168, ADV 8, NOUN 4), oradan (ADV 6, NOUN 2)

• erken
  • ADJ 111: Boston’dan BWI’ye öğle yemeği servisi yapan en erken uçuş hangisi
  • ADV 105: Denver’den Pittsburgh’a olan hangi uçuş sabah en erken gelir
• ne
  • ADJ 117: yemek için d s ne anlama geliyor
  • ADV 90: 7 Mayıs’ta Atlanta’dan Denver’e direkt uçuşun ne kadar olacağına bakalım
  • PRON 57: AP 57 ne anlama geliyor
• ilk
  • ADV 22: Washington’dan Denver’e öğlen saat 1’den sonraki ilk uçuş nedir
  • ADJ 20: Boston’dan Philadelphia’ya ilk uçuşu göster
• nasıl
  • ADV 22: Akşamleyin Indianapolis’ten Montreal’a nasıl gidebilirim
  • ADJ 4: Milwaukee’den San Francisco’ya gidiş dönüş en ucuz nasıl gidilir
• bugün
  • ADV 13: bana bugün erken kalkan Boston - San Francisco uçuşlarını ver
  • NOUN 1: bugün Los Angeles’ten Charlotte’ye bir uçağa ihtiyacım var
• sonra
  • ADP 386: Oakland’dan ayrılıp öğleden sonra saat 5’te Boston’a varmak istiyorum
  • ADV 16: tamam ve sonra Pittsburgh’tan dört Eylül’de Atlanta’ya gitmek istiyorum
• geç
  • ADJ 18: Memphis’ten Seattle’ye en geç akşam saat 3’te varacak bir uçuş istiyorum
  • ADV 15: Oakland’dan Salt Lake City’e çarşamba günü geç bir uçuşa ihtiyacım var
• geri
  • ADV 9: Çarşamba günü Salt Lake City’den St. Petersburg’a geri uçmak istiyorum
  • ADJ 3: Boston’dan Denver’e San Francisco’ya uçup geri dönmem lazım
• önce
  • ADP 168: Perşembe günü saat 5’ten önce Boston’dan Atlanta’ya tüm uçuşları listele
  • ADV 8: Oakland ile Boston arasında saat 5’ten önce varan bir uçuş istiyorum
  • NOUN 4: Hangi uçuşlar Boston’dan ayrılıp Philadelphia’ya sabah 7’den önce varıyor
• oradan
  • ADV 6: New York’tan Milwaukee’ye oradan da Los Angeles’e hangi havayolları uçuyor
  • NOUN 2: bana Detroit’ten Las Vegas’a oradan da geriye bir first class biletin fiyatını göster

Morphology

The form / lemma ratio of ADV is 1.016949 (the average of all parts of speech is 2.025565).

The 1st highest number of forms (2) was observed with the lemma “çok”: co, çok.

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

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

ADV occurs with 2 features: Degree (556; 37% instances), ExtPos (4; 0% instances)

ADV occurs with 3 feature-value pairs: Degree=Cmp, Degree=Sup, ExtPos=ADV

ADV occurs with 4 feature combinations. The most frequent feature combination is _ (944 tokens). Examples: lütfen, erken, ne, hakkında, şimdi, direkt, ilk, nasıl, bugün, sonra

Relations

ADV nodes are attached to their parents using 20 different relations: advmod (829; 55% instances), discourse (346; 23% instances), amod (168; 11% instances), compound (44; 3% instances), root (26; 2% instances), case (24; 2% instances), nmod (17; 1% instances), obj (12; 1% instances), obl (10; 1% instances), nmod:tmod (8; 1% instances), conj (4; 0% instances), obl:tmod (4; 0% instances), nsubj (3; 0% instances), advcl (2; 0% instances), flat (2; 0% instances), acl (1; 0% instances), cc (1; 0% instances), dep (1; 0% instances), dislocated (1; 0% instances), parataxis (1; 0% instances)

Parents of ADV nodes belong to 9 different parts of speech: ADJ (492; 33% instances), VERB (491; 33% instances), NOUN (315; 21% instances), ADV (95; 6% instances), PROPN (35; 2% instances), ADP (32; 2% instances), (26; 2% instances), NUM (11; 1% instances), X (7; 0% instances)

1199 (80%) ADV nodes are leaves.

278 (18%) ADV nodes have one child.

25 (2%) ADV nodes have two children.

2 (0%) ADV nodes have three or more children.

The highest child degree of a ADV node is 3.

Children of ADV nodes are attached using 16 different relations: nmod (134; 40% instances), advmod (103; 31% instances), compound (35; 10% instances), nsubj (26; 8% instances), cc (8; 2% instances), conj (5; 1% instances), obl (5; 1% instances), case (4; 1% instances), fixed (4; 1% instances), advcl (3; 1% instances), acl (2; 1% instances), amod (1; 0% instances), nmod:poss (1; 0% instances), nmod:tmod (1; 0% instances), obl:tmod (1; 0% instances), parataxis (1; 0% instances)

Children of ADV nodes belong to 9 different parts of speech: NOUN (145; 43% instances), ADV (95; 28% instances), ADP (31; 9% instances), PROPN (21; 6% instances), ADJ (13; 4% instances), CCONJ (12; 4% instances), VERB (9; 3% instances), INTJ (6; 2% instances), NUM (2; 1% instances)

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