Sampling-based Alignment and Hierarchical Sub-sentential Alignment in Chinese-Japanese Translation of Patents

Wei Yang; Zhongwen Zhao; Baosong Yang; Yves Lepage

Sampling-based Alignment and Hierarchical Sub-sentential Alignment in Chinese-Japanese Translation of Patents

Wei Yang, Zhongwen Zhao, Baosong Yang, Yves Lepage

大学院情報生産システム研究科

研究成果: Paper › 査読

1 被引用数 (Scopus)

抄録

This paper describes Chinese-Japanese translation systems based on different alignment methods using the JPO corpus and our submission (ID: WASUIPS) to the subtask of the 2015 Workshop on Asian Translation. One of the alignment methods used is bilingual hierarchical sub-sentential alignment combined with sampling-based multilingual alignment. We also accelerated this method and in this paper, we evaluate the translation results and time spent on several machine translation tasks. The training time is much faster than the standard baseline pipeline (GIZA++/Moses) and MGIZA/Moses.

本文言語	English
ページ	87-94
ページ数	8
出版ステータス	Published - 2015
イベント	2nd Workshop on Asian Translation, WAT 2015 - Kyoto, Japan 継続期間: 2015 10月 16 → …

Conference

Conference	2nd Workshop on Asian Translation, WAT 2015
国/地域	Japan
City	Kyoto
Period	15/10/16 → …

ASJC Scopus subject areas

言語および言語学
コンピュータサイエンス（その他）

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author = "Wei Yang and Zhongwen Zhao and Baosong Yang and Yves Lepage",

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AU - Lepage, Yves

N1 - Funding Information: The paper is part of the outcome of research performed under a Waseda University Grant for Special Research Project (Project number: 2015A-063). Publisher Copyright: © 2015 Copyright is held by the author(s).

PY - 2015

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N2 - This paper describes Chinese-Japanese translation systems based on different alignment methods using the JPO corpus and our submission (ID: WASUIPS) to the subtask of the 2015 Workshop on Asian Translation. One of the alignment methods used is bilingual hierarchical sub-sentential alignment combined with sampling-based multilingual alignment. We also accelerated this method and in this paper, we evaluate the translation results and time spent on several machine translation tasks. The training time is much faster than the standard baseline pipeline (GIZA++/Moses) and MGIZA/Moses.

AB - This paper describes Chinese-Japanese translation systems based on different alignment methods using the JPO corpus and our submission (ID: WASUIPS) to the subtask of the 2015 Workshop on Asian Translation. One of the alignment methods used is bilingual hierarchical sub-sentential alignment combined with sampling-based multilingual alignment. We also accelerated this method and in this paper, we evaluate the translation results and time spent on several machine translation tasks. The training time is much faster than the standard baseline pipeline (GIZA++/Moses) and MGIZA/Moses.

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Sampling-based Alignment and Hierarchical Sub-sentential Alignment in Chinese-Japanese Translation of Patents

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ASJC Scopus subject areas

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