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Statistical Machine Translation using Large J/E Parallel Corpus and Long Phrase Tables

Department of Information and Knowledge Engineering Faculty of Engineering
Tottori University, Japan


Our statistical machine translation system that uses large Japanese-English parallel sentences and long phrase tables is described. We collected 698,973 Japanese-English parallel sentences, and we used long phrase tables. Also, we utilized general tools for statistical machine translation, such as "Giza++"[1], "moses"[2], and "training-phrase-model.perl"[3]. We used these data and these tools, We challenge the contest for IWSLT07. In which task was the result (0.4321 BLEU) obtained.

Jin'ichi Murakami 2007-11-12