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Treebank Statistics: UD_Turkish_German-SAGT: POS Tags: ADP

There are 73 ADP lemmas (2%), 93 ADP types (1%) and 1658 ADP tokens (4%). Out of 17 observed tags, the rank of ADP is: 8 in number of lemmas, 8 in number of types and 9 in number of tokens.

The 10 most frequent ADP lemmas: in, zu, sonra, için, mit, von, für, auf, an, gibi

The 10 most frequent ADP types: in, zu, sonra, için, mit, von, für, auf, an, gibi

The 10 most frequent ambiguous lemmas: in (ADP 227, VERB 5, X 1), zu (ADP 175, PART 12, ADV 8, X 1), sonra (ADP 152, NOUN 18, ADV 3), için (ADP 150, NOUN 1, SCONJ 1), mit (ADP 94, ADV 1), auf (ADP 67, PART 2, ADV 1, VERB 1), an (ADP 61, NOUN 10, PART 6), gibi (ADP 57, ADV 4), kadar (ADP 38, ADV 6), ki (SCONJ 39, ADV 36, ADP 28, INTJ 1)

The 10 most frequent ambiguous types: zu (ADP 174, PART 12, ADV 8), sonra (ADP 152, NOUN 13, ADV 2), için (ADP 147, SCONJ 1), mit (ADP 94, ADV 1), auf (ADP 65, PART 2, ADV 1), an (ADP 60, NOUN 8, PART 6), gibi (ADP 55, ADV 3), kadar (ADP 38, ADV 6), als (ADP 25, SCONJ 8, ADV 1), ki (SCONJ 37, ADV 36, ADP 24, INTJ 1)

• zu
  • ADP 174: Ama tabii böyle bir tahminim var zu dem Beispiel Englisch oder Deutsch .
  • PART 12: Hani ich finde auch , bu şey hakkında kitap yazmak biraz zu subjektiv .
  • ADV 8: Derslerim iyi eh çok zor ich habe viel zu viel Technik .
• sonra
  • ADP 152: Ondan sonra işte o ähm das ja die Zeit in dem Nationalsozialismus .
  • NOUN 13: O da işte Prüfungdan sonra onu da inşallah yakında bir bitireceğim .
  • ADV 2: Äh ben o Stoff’ları yapa yapa irg– bütün gün evde oturuyorum mecbur onu yapıyorum ondan sonra normalde ders de öğrenmen lazım Wiederholungen etmen lazım da hat man schon viel zutun ama eh ben akşamları ben hep bir Zeitplanım var .
• için
  • ADP 147: Äh aber danach ähm ders çalışacağım für söz lü sınavım da olacağı için .
  • SCONJ 1: Und du verstehst das in dem Moment nicht , die haben halt so die Kundensprache çünkü anlamıyorsun yeni olduğun için ne demek hani ?
• mit
  • ADP 94: Ondan sonra mit verschiedenen Kulturen , Sprachen , Bevölkerungsgruppen .
  • ADV 1: Du kannst auch so odun und so noch mit nach Hause nehmen so zu deinem çocukların var ya .
• auf
  • ADP 65: Ich bin auf der Warteliste , ich muss beklemem lazım işte .
  • PART 2: Worüber habt ihr bir de so du nimmst ja so Sachen auf so über Uni und so hani diyecekler ki bunda hani bunda aufnehmen yapılacak ne var ki .
  • ADV 1: Und seit klein auf sind wir , haben wir so eine starke Bindung zueinander , alle zusammen çok şükür .
• an
  • ADP 60: Und an dem Abend mesela salatayla Tofu .
  • NOUN 8: Ondan sonra şu an da zaten Jugendamtda çalışıyorum bildiğin gibi .
  • PART 6: Bu aralar zaten daha çok böyle bir şey olmuş , ehm es nimmt jetzt so gerade wieder so bisschen Lauf an .
• gibi
  • ADP 55: Aber dediğim gibi ich habe heute jetzt den Mietvertrag unterschrieben .
  • ADV 3: Aber sanki sie hat schon so einen deutschen Akzent gibi .
• kadar
  • ADP 38: Ich hab Dings ähm o kadar Prüfunglarım var ki .
  • ADV 6: Ich schreibe auch ihren Namen darauf aber yarın da söylerim gerçekten ne kadar sauer olduğumu .
• als
  • ADP 25: Zamanında o der war besser als Christiano Ronaldo .
  • SCONJ 8: Äh allgemein als du Probleme hattest in manchen Fächern ne yaptın ?
  • ADV 1: Hani diyelim ich will einen französischen Film anschauen , dann schaue ich das lieber mit Untertitel , als so , weißt du .
• ki
  • SCONJ 37: Ehm onlar da dedi ki es ist echt ein sehr gutes Unterberuf .
  • ADV 36: Ich hab Dings ähm o kadar Prüfunglarım var ki .
  • ADP 24: O Flächede ki üstleri başları abscannen yapacaklar .
  • INTJ 1: Tabii ki Türkiye’nin doğusunu da görmek isterim mesela Diyarbakır falan wie es da so ist .

Morphology

The form / lemma ratio of ADP is 1.273973 (the average of all parts of speech is 1.678698).

The 1st highest number of forms (10) was observed with the lemma “lik”: lik, likle, liği, liğin, liğine, lük, lüğümden, lık, lığı, lığına.

The 2nd highest number of forms (5) was observed with the lemma “li”: li, lu, lü, lı, lılar.

The 3rd highest number of forms (4) was observed with the lemma “ki”: ki, kiler, kisi, kü.

ADP occurs with 5 features: Case (91; 5% instances), Number (90; 5% instances), Number[psor] (20; 1% instances), Person[psor] (20; 1% instances), Foreign (7; 0% instances)

ADP occurs with 13 feature-value pairs: Case=Abl, Case=Acc, Case=Dat, Case=Ins, Case=Loc, Case=Nom, Foreign=Yes, Number=Plur, Number=Sing, Number[psor]=Sing, Person[psor]=1, Person[psor]=2, Person[psor]=3

ADP occurs with 15 feature combinations. The most frequent feature combination is _ (1560 tokens). Examples: in, zu, sonra, için, mit, von, für, auf, an, gibi

Relations

ADP nodes are attached to their parents using 12 different relations: case (1317; 79% instances), mark (238; 14% instances), compound:prt (48; 3% instances), reparandum (30; 2% instances), fixed (9; 1% instances), obl (6; 0% instances), orphan (3; 0% instances), conj (2; 0% instances), root (2; 0% instances), discourse (1; 0% instances), nmod (1; 0% instances), obj (1; 0% instances)

Parents of ADP nodes belong to 12 different parts of speech: NOUN (853; 51% instances), VERB (288; 17% instances), PRON (271; 16% instances), PROPN (182; 11% instances), ADP (26; 2% instances), ADJ (15; 1% instances), NUM (9; 1% instances), ADV (8; 0% instances), DET (2; 0% instances), (2; 0% instances), CCONJ (1; 0% instances), X (1; 0% instances)

1615 (97%) ADP nodes are leaves.

37 (2%) ADP nodes have one child.

3 (0%) ADP nodes have two children.

3 (0%) ADP nodes have three or more children.

The highest child degree of a ADP node is 8.

Children of ADP nodes are attached using 13 different relations: reparandum (25; 40% instances), advmod:emph (15; 24% instances), advmod (3; 5% instances), conj (3; 5% instances), cop (3; 5% instances), nsubj (3; 5% instances), punct (3; 5% instances), discourse (2; 3% instances), cc (1; 2% instances), mark (1; 2% instances), obl (1; 2% instances), parataxis:discourse (1; 2% instances), xcomp (1; 2% instances)

Children of ADP nodes belong to 9 different parts of speech: ADP (26; 42% instances), ADV (18; 29% instances), VERB (4; 6% instances), AUX (3; 5% instances), NOUN (3; 5% instances), PUNCT (3; 5% instances), INTJ (2; 3% instances), PRON (2; 3% instances), CCONJ (1; 2% instances)

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