Book contents
- Advances in Empirical Translation Studies
- Advances in Empirical Translation Studies
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- 1 Advances in Empirical Translation Studies
- 2 Development of Empirical Multilingual Analytical Instruments
- 3 Statistics for Corpus-Based and Corpus-Driven Approaches to Empirical Translation Studies
- 4 The Evolving Treatment of Semantics in Machine Translation
- 5 Translating and Disseminating World Health Organization Drinking-Water-Quality Guidelines in Japan
- 6 Developing Multilingual Automatic Semantic Annotation Systems
- 7 Leveraging Large Corpora for Translation Using Sketch Engine
- 8 Developing Computerised Health Translation Readability Evaluation Tools
- 9 Reordering Techniques in Japanese and English Machine Translation
- 10 Audiovisual Translation in Mercurial Mediascapes
- 11 Exploiting Data-Driven Hybrid Approaches to Translation in the EXPERT Project
- 12 Advances in Speech-to-Speech Translation Technologies
- 13 Challenges and Opportunities of Empirical Translation Studies
- Index
- References
9 - Reordering Techniques in Japanese and English Machine Translation
Published online by Cambridge University Press: 10 June 2019
Book contents
- Advances in Empirical Translation Studies
- Advances in Empirical Translation Studies
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- 1 Advances in Empirical Translation Studies
- 2 Development of Empirical Multilingual Analytical Instruments
- 3 Statistics for Corpus-Based and Corpus-Driven Approaches to Empirical Translation Studies
- 4 The Evolving Treatment of Semantics in Machine Translation
- 5 Translating and Disseminating World Health Organization Drinking-Water-Quality Guidelines in Japan
- 6 Developing Multilingual Automatic Semantic Annotation Systems
- 7 Leveraging Large Corpora for Translation Using Sketch Engine
- 8 Developing Computerised Health Translation Readability Evaluation Tools
- 9 Reordering Techniques in Japanese and English Machine Translation
- 10 Audiovisual Translation in Mercurial Mediascapes
- 11 Exploiting Data-Driven Hybrid Approaches to Translation in the EXPERT Project
- 12 Advances in Speech-to-Speech Translation Technologies
- 13 Challenges and Opportunities of Empirical Translation Studies
- Index
- References
Summary
English and Japanese have very different word order and form one of the most difficult language pairs for translating each other. In statistical machine translation, it is well known that the translation accuracy between distant languages such as English and Japanese, is significantly lower than that between similar languages such as English and French. In this article, we describe a series of works done at our research groups in NTT to solve the problems in statistical machine translation between language pairs with very different word order such as Japanese and English.
Keywords
- Type
- Chapter
- Information
- Advances in Empirical Translation StudiesDeveloping Translation Resources and Technologies, pp. 164 - 176Publisher: Cambridge University PressPrint publication year: 2019
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