A stochastic finite-state morphological parser for Turkish
Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009, Suntec, Singapur, 2 - 07 Ağustos 2009, ss.273-276, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.3115/1667583.1667667
- Basıldığı Şehir: Suntec
- Basıldığı Ülke: Singapur
- Sayfa Sayıları: ss.273-276
- Boğaziçi Üniversitesi Adresli: Evet
Özet
This paper presents the first stochastic finite-state morphological parser for Turkish. The non-probabilistic parser is a standard finite-state transducer implementation of two-level morphology formalism. A disambiguated text corpus of 200 million words is used to stochastize the morphotactics transducer, then it is composed with the morphophonemics transducer to get a stochastic morphological parser. We present two applications to evaluate the effectiveness of the stochastic parser; spelling correction and morphology-based language modeling for speech recognition. © 2009 ACL and AFNLP.