Tantuğ, A. Cüneyd and Oflazer, Kemal and Adalı, Eşref (2006) Lexical ambiguity resolution for Turkish in direct transfer machine translation models. Lecture Notes in Computer Science, 4263 . pp. 230-238. ISSN 0302-9743
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Official URL: http://www.springerlink.com/content/1381p78448250404/?p=43272759077c483a8cdb2e29344f4a54&pi=6
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.
Item Type: | Article |
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Subjects: | Q Science > Q Science (General) |
Divisions: | Faculty of Engineering and Natural Sciences |
Depositing User: | Kemal Oflazer |
Date Deposited: | 19 Dec 2006 02:00 |
Last Modified: | 04 Sep 2019 16:36 |
URI: | https://research.sabanciuniv.edu/id/eprint/181 |