Türkçe metinlerde sözlük dışı kelime tespiti

Öz

Bu çalışmada, Türkçe metinler için sözlük dışı kelime (SDK) tespiti yapabilen anlamsal bir çizge ağı modeli sunulmuştur. Doğal dil işleme (DDİ) alanında, biçimbirimsel çözümleyiciler, kelime analizi esnasında bilinmeyen kelime (BK)’lerle karşılaşabilmektedirler. Bu durum daha çok, bu tip araçların çözümleme esnasında aday bulabilmeleri için bir sözlüğe bağımlı oldukları durumlarda oluşmaktadır.  Bazen, bir çözümleyici madde başı adaylarının sözlükte mevcut olmaması sebebiyle hiçbir madde başı adayını bulamamaktadır. Bu durum çözümleme çıktı değerini düşürebilmektedir.  Sözlük dışı kelime (SDK) tespiti için önerilen model, sözlükler için uygun olabilecek sözlük dışı kelimeleri tespit edebilmektedir. Ayrıca çizge veri tabanında birliktelik ilişkileri kullanılarak bir anlamsal alt-ağ oluşturulmuş ve yeni eşdizimliliklerin madde başı olarak önerilecek şekilde keşfedilmesi amacıyla kullanılmıştır.

Anahtar Kelimeler

• Bilinmeyen kelimeler,Eşdizimlilik,Birliktelik,Sözlük dışı kelimeler

Identification of OOV words in Turkish texts

Öz

In this study, we present a semantic graph network model which is capable of detecting out-of-vocabulary (OOV) words in Turkish texts. In natural language processing (NLP) field, morphological analyzers can encounter unknown words (UW) during word processing. This mostly occurs when these kind of tools depend on a dictionary to find the probable lemmas in order to further process parsing. Sometimes, an analyzer is unable to find any candidates because of the non-existence of the lemma candidates in the dictionary. This results in degraded parsing output. The proposed model for OOV detection is able to define OOV words which are suitable for dictionaries. Also co-occurrence relations of the lemmas in texts are modelled as a semantic sub-graph and it is used to discover collocations to propose as new lemma candidates.  

Anahtar Kelimeler

• Unknown words,Collocation,Co-occurrence,OOV words

Kaynakça

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