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

Research output: Contribution to conferencePaperpeer-review

11 Citations (Scopus)

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.

Original languageEnglish
Pages83-90
Number of pages8
Publication statusPublished - 2006
Event3rd International Workshop on Spoken Language Translation, IWSLT 2006 - Keihanna Science City, Japan
Duration: 2006 Nov 272006 Nov 28

Conference

Conference3rd International Workshop on Spoken Language Translation, IWSLT 2006
Country/TerritoryJapan
CityKeihanna Science City
Period06/11/2706/11/28

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Linguistics and Language

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