Japanese Argument Reordering Based on Dependency Structure for Statistical Machine Translation-Reference-Cited by-同舟云学术

Japanese Argument Reordering Based on Dependency Structure for Statistical Machine Translation

Published:2012 Issue:6 Volume:E95.D Page:1668-1675
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

GOH Chooi-Ling¹,WATANABE Taro¹,SUMITA Eiichiro¹

Affiliation:

1. National Institute of Information and Communications Technology, Keihanna Science City

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E95.D/6/E95.D_1668/_pdf

Reference26 articles.

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2. [2] S. Nießen and H. Ney, “Morpho-syntactic analysis for reordering in statistical machine translation,” Proc. MT Summit VIII, pp.247-252, 2001.

3. [3] M. Collins, P. Koehn, and I. Kucerova, “Clause restructuring for statistical machine translation,” Proc. ACL, pp.531-540, 2005.

4. [4] M. Komachi, Y. Matsumoto, and M. Nagata, “Phrase reordering for statistical machine translation based on predicate-argument structure,” Proc. IWSLT, pp.77-82, 2006.

5. [5] D. Genzel, “Automatically learning source-side reordering rules for large scale machine translation,” Proc. COLING, pp.376-384, 2010.

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