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Treebank Statistics: UD_Turkish-Atis: POS Tags: ADV

There are 79 ADV lemmas (7%), 90 ADV types (4%) and 1687 ADV tokens (4%). Out of 13 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, kalk, ayrıl, şimdi, direkt, ilk

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

The 10 most frequent ambiguous lemmas: erken (ADJ 111, ADV 106), ne (VERB 569, ADJ 118, ADV 91, PRON 62), kalk (ADJ 353, VERB 68, ADV 51, NOUN 19), ayrıl (ADV 36, NOUN 7, VERB 5, ADJ 1), ilk (ADV 22, ADJ 21), nasıl (ADV 22, ADJ 5, VERB 2), sonra (ADP 421, ADV 17, NOUN 9, ADJ 1), bugün (ADV 16, NOUN 2), geç (ADJ 22, ADV 15), et (VERB 35, NOUN 32, ADJ 28, ADV 10)

The 10 most frequent ambiguous types: erken (ADJ 111, ADV 106), ne (ADJ 117, ADV 91, PRON 57), ilk (ADV 22, ADJ 21), nasıl (ADV 22, ADJ 4), sonra (ADP 419, ADV 17), bugün (ADV 13, NOUN 1), geç (ADJ 19, ADV 15), geri (ADV 9, ADJ 3), önce (ADP 193, ADV 8, NOUN 4), birlikte (ADV 6, ADP 3)

• erken
  • ADJ 111: Boston’dan BWI’ye öğle yemeği servisi yapan en erken uçuş hangisi
  • ADV 106: Denver’den Pittsburgh’a olan hangi uçuş sabah en erken gelir
• ne
  • ADJ 117: yemek için d s ne anlama geliyor
  • ADV 91: 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 21: 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
• sonra
  • ADP 419: Oakland’dan ayrılıp öğleden sonra saat 5’te Boston’a varmak istiyorum
  • ADV 17: tamam ve sonra Pittsburgh’tan dört Eylül’de Atlanta’ya gitmek istiyorum
• bugün
  • ADV 13: bana bugün erken kalkan Boston - San Francisco uçuşlarını ver
  • NOUN 1: bugün Los Angeles’ten Charlotte’ye bir uçağa ihtiyacım var
• geç
  • ADJ 19: 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 193: 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
• birlikte
  • ADV 6: Tüm Tower Air uçuşlarını yemekle birlikte listele
  • ADP 3: bilet bilgileriyle birlikte us havayollarında Pittsburgh - Oakland uçuşlarını göster

Morphology

The form / lemma ratio of ADV is 1.139241 (the average of all parts of speech is 1.744205).

The 1st highest number of forms (3) was observed with the lemma “uç”: uçarken, uçup, uçuştur.

The 2nd highest number of forms (2) was observed with the lemma “ayrıl”: ayrılarak, ayrılıp.

The 3rd highest number of forms (2) was observed with the lemma “başla”: başlayarak, başlayıp.

ADV occurs with 2 features: Degree (562; 33% instances), PronType (113; 7% instances)

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

ADV occurs with 4 feature combinations. The most frequent feature combination is _ (1012 tokens). Examples: lütfen, erken, hakkında, kalkıp, ayrılıp, şimdi, direkt, ilk, sonra, bugün

Relations

ADV nodes are attached to their parents using 20 different relations: advmod (892; 53% instances), discourse (355; 21% instances), amod (168; 10% instances), advcl (111; 7% instances), compound (44; 3% instances), root (28; 2% instances), case (25; 1% instances), nmod (16; 1% instances), obj (12; 1% instances), obl (10; 1% instances), nmod:tmod (8; 0% instances), conj (4; 0% instances), obl:tmod (4; 0% instances), nsubj (3; 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 8 different parts of speech: ADJ (610; 36% instances), VERB (474; 28% instances), NOUN (405; 24% instances), ADV (100; 6% instances), PROPN (37; 2% instances), ADP (32; 2% instances), (28; 2% instances), NUM (1; 0% instances)

1228 (73%) ADV nodes are leaves.

373 (22%) ADV nodes have one child.

71 (4%) ADV nodes have two children.

15 (1%) ADV nodes have three or more children.

The highest child degree of a ADV node is 5.

Children of ADV nodes are attached using 20 different relations: nmod (143; 25% instances), obl (138; 25% instances), advmod (111; 20% instances), compound (55; 10% instances), obl:tmod (41; 7% instances), nsubj (28; 5% instances), cc (8; 1% instances), conj (7; 1% instances), obj (6; 1% instances), amod (5; 1% instances), case (4; 1% instances), fixed (4; 1% instances), csubj (3; 1% instances), acl (2; 0% instances), advcl (2; 0% instances), ccomp (1; 0% instances), nmod:poss (1; 0% instances), nmod:tmod (1; 0% instances), parataxis (1; 0% instances), xcomp (1; 0% instances)

Children of ADV nodes belong to 9 different parts of speech: NOUN (232; 41% instances), PROPN (152; 27% instances), ADV (100; 18% instances), ADP (31; 6% instances), ADJ (25; 4% instances), CCONJ (12; 2% instances), INTJ (6; 1% instances), NUM (2; 0% instances), VERB (2; 0% instances)

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