NDLI: Syntax-Based Post-Ordering for Efficient Japanese-to-English Translation

Content Provider	ACM Digital Library
Author	Sudoh, Katsuhito Tsukada, Hajime Duh, Kevin Wu, Xianchao Nagata, Masaaki
Copyright Year	2013
Abstract	This article proposes a novel reordering method for efficient two-step Japanese-to-English statistical machine translation (SMT) that isolates reordering from SMT and solves it after lexical translation. This reordering problem, called $\textit{post-ordering},$ is solved as an SMT problem from Head-Final English (HFE) to English. HFE is syntax-based reordered English that is very successfully used for reordering with English-to-Japanese SMT. The proposed method incorporates its advantage into the reverse direction, Japanese-to-English, and solves the post-ordering problem by accurate syntax-based SMT with target language syntax. Two-step SMT with the proposed post-ordering empirically reduces the decoding time of the accurate but slow syntax-based SMT by its good approximation using intermediate HFE. The proposed method improves the decoding speed of syntax-based SMT decoding by about six times with comparable translation accuracy in Japanese-to-English patent translation experiments.
Starting Page	1
Ending Page	15
Page Count	15
File Format	PDF
ISSN	15300226
e-ISSN	15583430
DOI	10.1145/2499955.2499960
Volume Number	12
Issue Number	3
Journal	ACM Transactions on Asian Language Information Processing (TALIP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-08-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Japanese-to-English translation Long-distance reordering Post-ordering Statistical machine translation
Content Type	Text
Resource Type	Article
Subject	Computer Science

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