PROPN

This is part of archived UD v1 documentation. See http://universaldependencies.org/ for the current version.

home tr/pos issue tracker

`PROPN`: proper noun

Definition

A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object.

Note that PROPN is only used for the subclass of nouns that are used as names and that often exhibit special syntactic properties. When other phrases or sentences are used as names, the component words retain their original tags. For example, in İstanbul Büyük Şehir Belediyesi, Büyük is ADJ, Şehir and Belediyesi are NOUN.

Acronyms of proper nouns, such as TBMM and NATO, should be tagged PROPN.

Examples

Ayşe, Ali
Ankara
NATO, BM, TBMM

Treebank Statistics (UD_Turkish)

There are 811 PROPN lemmas (13%), 1077 PROPN types (6%) and 2179 PROPN tokens (4%). Out of 14 observed tags, the rank of PROPN is: 4 in number of lemmas, 4 in number of types and 7 in number of tokens.

The 10 most frequent PROPN lemmas: Türkiye, İstanbul, Kerem, Ayhan, Recep, Kemal, Ankara, Mahmut, Ramiz, Irak

The 10 most frequent PROPN types: Kerem, Türkiye, Ayhan, Kemal, Ramiz, Recep, Türkiye’nin, Mebrure, Gül, Naci

The 10 most frequent ambiguous lemmas: Maryline (PROPN 7, NOUN 1), İmkb (PROPN 7, NOUN 3), Tkp (PROPN 3, NOUN 1), Avrupalı (PROPN 2, ADJ 1), Alekseyev (PROPN 1, NOUN 1), erkek (ADJ 59, PROPN 1), park (NOUN 37, PROPN 1)

The 10 most frequent ambiguous types: Hanım (PROPN 6, NOUN 2), Sav (PROPN 6, NOUN 1), Bodrum (PROPN 5, NOUN 1), Can (PROPN 5, NOUN 1), Deniz (PROPN 4, NOUN 1), ? (PUNCT 231, PRON 3, PROPN 2), Abi (PROPN 2, NOUN 1), Doğu (ADJ 3, PROPN 2), Güneş (NOUN 4, PROPN 2), Hadi (INTJ 14, PROPN 2)

Hanım
- PROPN 6: Hatta Semra Hanım da .
- NOUN 2: Hatırladığım kadar ıyla gene ikimizin de meslektaşı olan Yüksel Hanım , komşu evin balkonundan bizi seyrediyordu .
Sav
- PROPN 6: Atila Sav da Edebiyat’ta birinci olabildi .
- NOUN 1: Dört kişi ydi bunlar : Sav ve Karaosmanoğlu Atila’lar .
Bodrum
- PROPN 5: İstanbul , Ankara , İzmir , Antalya , Dalaman , Adana , Trabzon , Bodrum Milas , Bursa’da ‘ bulunuyor .
- NOUN 1: Bodrum katına kapatılmış cinsellik .
Can
- PROPN 5: Bunlardan birisi de Sibel Can .
- NOUN 1: Can sık ıcı bir iş .
Deniz
- PROPN 4: Kokteyle CHP Genel Başkanı Deniz Baykal ile çok sayıda partili katıldı .
- NOUN 1: Deniz saati geçmesine karşın hala yüzen birkaç kişi var .
?
- PUNCT 231: Nasıl bir kadın o ? diye sordum .
- PRON 3: ? imse kim ?
- PROPN 2: Özer’lerin ? ithatpaşa’daki bahçe içinde ki evinde ydik .
Abi
- PROPN 2: Hüseyin Abi gönderdi .
- NOUN 1: Koşarak ona yaklaştı heyecanla Abi ! .
Doğu
- ADJ 3: KKTC’de incelemelerde bulunan Meclis Başkanı Bülent Arınç’ın heyeti son olarak geldiği Doğu Akdeniz Üniversitesi’nde ilginç bir buluşmaya ev sahipliği yaptı .
- PROPN 2: Başesgioğlu göre , olası Irak savaşı , Orta Doğu ve Kuzey Afrika ülkelerini öncelikle etkiler .
Güneş
- NOUN 4: Güneş tepeye vardığında evin etrafında ki hareket de artıyor .
- PROPN 2: Güneş batarken ve eylül rüzgarları kuruyan otların üstünde belli belirsiz gezinirken buluşmalıydınız .
Hadi
- INTJ 14: Hadi koşalım .
- PROPN 2: Hadi bakalım herkes yatağına , ışıklar beş dakika sonra sönmüş olacak .

Morphology

The form / lemma ratio of PROPN is 1.327990 (the average of all parts of speech is 2.815350).

The 1st highest number of forms (7) was observed with the lemma “Türkiye”: Türkiye, Türkiye’de, Türkiye’den, Türkiye’nin, Türkiye’sinde, Türkiye’ye, Türkiye’yi.

The 2nd highest number of forms (6) was observed with the lemma “Anap”: ANAP, ANAP’a, ANAP’ta, ANAP’tan, ANAP’ı, ANAP’ın.

The 3rd highest number of forms (6) was observed with the lemma “Avrupa”: Avrupa, Avrupa’da, Avrupa’dan, Avrupa’nın, Avrupa’ya, Avrupa’yı.

PROPN occurs with 5 features: Case (2179; 100% instances), Number (2179; 100% instances), Person (2179; 100% instances), Number[psor] (16; 1% instances), Person[psor] (16; 1% instances)

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

PROPN occurs with 14 feature combinations. The most frequent feature combination is Case=Nom|Number=Sing|Person=3 (1500 tokens). Examples: Kerem, Türkiye, Ayhan, Kemal, Ramiz, Recep, Mebrure, Gül, Naci, Saffet

Relations

PROPN nodes are attached to their parents using 10 different relations: nsubj (551; 25% instances), nmod (515; 24% instances), nmod:poss (437; 20% instances), name (322; 15% instances), conj (214; 10% instances), dobj (90; 4% instances), root (35; 2% instances), compound (13; 1% instances), advmod:emph (1; 0% instances), cc (1; 0% instances)

Parents of PROPN nodes belong to 13 different parts of speech: VERB (953; 44% instances), NOUN (632; 29% instances), PROPN (423; 19% instances), ADJ (94; 4% instances), ROOT (35; 2% instances), CONJ (12; 1% instances), ADV (7; 0% instances), PRON (7; 0% instances), NUM (5; 0% instances), ADP (4; 0% instances), INTJ (3; 0% instances), DET (2; 0% instances), PUNCT (2; 0% instances)

1431 (66%) PROPN nodes are leaves.

535 (25%) PROPN nodes have one child.

138 (6%) PROPN nodes have two children.

75 (3%) PROPN nodes have three or more children.

The highest child degree of a PROPN node is 12.

Children of PROPN nodes are attached using 22 different relations: name (322; 29% instances), nmod (172; 16% instances), conj (132; 12% instances), acl (110; 10% instances), case (62; 6% instances), punct (53; 5% instances), amod (52; 5% instances), advmod:emph (46; 4% instances), cc (45; 4% instances), appos (25; 2% instances), nsubj (21; 2% instances), discourse (13; 1% instances), nummod (12; 1% instances), cop (11; 1% instances), advmod (8; 1% instances), det (7; 1% instances), compound (6; 1% instances), nmod:poss (3; 0% instances), aux:q (2; 0% instances), advcl (1; 0% instances), dobj (1; 0% instances), mark (1; 0% instances)

Children of PROPN nodes belong to 13 different parts of speech: PROPN (423; 38% instances), NOUN (230; 21% instances), VERB (118; 11% instances), CONJ (102; 9% instances), ADP (64; 6% instances), ADJ (59; 5% instances), PUNCT (55; 5% instances), NUM (17; 2% instances), AUX (13; 1% instances), ADV (10; 1% instances), PRON (7; 1% instances), DET (6; 1% instances), INTJ (1; 0% instances)