Lexical ambiguity resolution for Turkish in direct transfer machine translation models

Tantug A. C., Adali E., Oflazer K.

21st International Symposium on Computer and Information Sciences (ISCIS 2006), İstanbul, Türkiye, 1 - 03 Kasım 2006, cilt.4263, ss.230-238 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 4263
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.230-238
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

This paper presents a statistical lexical ambiguity resolution method in direct transfer machine translation models in which the target language is Turkish. Since direct transfer MT models do not have full syntactic information, most of the lexical ambiguity resolution methods are not very helpful. Our disambiguation model is based on statistical language models. We have investigated the performances of some statistical language model types and parameters in lexical ambiguity resolution for our direct transfer MT system.