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, Turkey, 1 - 03 November 2006, vol.4263, pp.230-238 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 4263
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.230-238
  • Istanbul Technical University Affiliated: No

Abstract

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.