The NiCT-ATR Statistical Machine Translation System for the IWSLT 2006 Evaluation

Ruiqiang Zhang, Hirofumi Yamamoto, Michael Paul, Hideo Okuma, Keiji Yasuda, Yves Lepage, Etienne Denoual, Daichi Mochihashi, Andrew Finch, Eiichiro Sumita

研究成果: Paper査読

11 被引用数 (Scopus)

抄録

This paper describes the NiCT-ATR statistical machine translation (SMT) system used for the IWSLT 2006 evaluation compaign. We participated in all four language pair translation tasks (CE, JE, AE and IE) and all two tracks (OPEN and CSTAR). We used a phrase-based SMT in the OPEN track and a hybrid multiple translation engine in the CSTAR track. We also equipped our system with some of new preprocessing and post-processing techniques for Chinese word segmentation, named entity translation, punctuation and capitalization, sentence splitting, and language model adaptation. Our experiments show these features significantly improved our system.

本文言語English
ページ83-90
ページ数8
出版ステータスPublished - 2006
イベント3rd International Workshop on Spoken Language Translation, IWSLT 2006 - Keihanna Science City, Japan
継続期間: 2006 11月 272006 11月 28

Conference

Conference3rd International Workshop on Spoken Language Translation, IWSLT 2006
国/地域Japan
CityKeihanna Science City
Period06/11/2706/11/28

ASJC Scopus subject areas

  • 言語および言語学
  • 人間とコンピュータの相互作用
  • 言語学および言語

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