International Workshop on Spoken Language Translation (IWSLT) 2007

Trento, Italy
October 15-16, 2007

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

Jin'ichi Murakami, Masato Tokuhisa, Satoru Ikehara

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++”, ”moses”, and ”training-phrase-model.perl”. We used these data and these tools. We challenge the contest for IWSLT07. In which task was the result (0.4321 BLEU) obtained.

Full Paper     Presentation

Bibliographic reference.  Murakami, Jin'ichi / Tokuhisa, Masato / Ikehara, Satoru (2007): "Statistical machine translation using large j/e parallel corpus and long phrase tables", In IWSLT-2007, 151-156.