JOURNAL ARTICLE

Chinese-Japanese Machine Translation Exploiting Chinese Characters

Chenhui ChuToshiaki NakazawaDaisuke KawaharaSadao Kurohashi

Year: 2013 Journal:   ACM Transactions on Asian Language Information Processing Vol: 12 (4)Pages: 1-25   Publisher: Association for Computing Machinery

Abstract

The Chinese and Japanese languages share Chinese characters. Since the Chinese characters in Japanese originated from ancient China, many common Chinese characters exist between these two languages. Since Chinese characters contain significant semantic information and common Chinese characters share the same meaning in the two languages, they can be quite useful in Chinese-Japanese machine translation (MT). We therefore propose a method for creating a Chinese character mapping table for Japanese, traditional Chinese, and simplified Chinese, with the aim of constructing a complete resource of common Chinese characters. Furthermore, we point out two main problems in Chinese word segmentation for Chinese-Japanese MT, namely, unknown words and word segmentation granularity, and propose an approach exploiting common Chinese characters to solve these problems. We also propose a statistical method for detecting other semantically equivalent Chinese characters other than the common ones and a method for exploiting shared Chinese characters in phrase alignment. Results of the experiments carried out on a state-of-the-art phrase-based statistical MT system and an example-based MT system show that our proposed approaches can improve MT performance significantly, thereby verifying the effectiveness of shared Chinese characters for Chinese-Japanese MT.

Keywords:
Chinese characters Computer science Natural language processing Phrase Artificial intelligence Machine translation Character (mathematics) Word (group theory) Point (geometry) Old Chinese Linguistics Mathematics

Metrics

21
Cited By
3.30
FWCI (Field Weighted Citation Impact)
37
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
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