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

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

13 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
外部発表	はい
イベント	3rd International Workshop on Spoken Language Translation, IWSLT 2006 - Keihanna Science City, Japan 継続期間: 2006 11月 27 → 2006 11月 28

Conference

Conference	3rd International Workshop on Spoken Language Translation, IWSLT 2006
国/地域	Japan
City	Keihanna Science City
Period	06/11/27 → 06/11/28

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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引用スタイル

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title = "The NiCT-ATR Statistical Machine Translation System for the IWSLT 2006 Evaluation",

abstract = "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.",

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T1 - The NiCT-ATR Statistical Machine Translation System for the IWSLT 2006 Evaluation

AU - Zhang, Ruiqiang

AU - Yamamoto, Hirofumi

AU - Paul, Michael

AU - Okuma, Hideo

AU - Yasuda, Keiji

AU - Lepage, Yves

AU - Denoual, Etienne

AU - Mochihashi, Daichi

AU - Finch, Andrew

AU - Sumita, Eiichiro

PY - 2006

Y1 - 2006

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AB - 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.

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T2 - 3rd International Workshop on Spoken Language Translation, IWSLT 2006

Y2 - 27 November 2006 through 28 November 2006

ER -

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

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Conference

ASJC Scopus subject areas

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