Context-based approach for pivot translation services

Rie Tanaka*, Yohei Murakami, Toru Ishida

*この研究の対応する著者

研究成果: Conference contribution

22 被引用数 (Scopus)

抄録

Machine translation services available on the Web are becoming increasingly popular. However, a pivot translation service is required to realize translations between non-English languages by cascading different translation services via English. As a result, the meaning of words often drifts due to the inconsistency, asymmetry and intransitivity of word selections among translation services. In this paper, we propose context-based coordination to maintain the consistency of word meanings during pivot translation services. First, we propose a method to automatically generate multilingual equivalent terms based on bilingual dictionaries and use generated terms to propagate context among combined translation services. Second, we show a multiagent architecture as one way of implementation, wherein a coordinator agent gathers and propagates context from/to a translation agent. We generated trilingual equivalent noun terms and implemented a Japanese-to-German-and-back translation, cascading into four translation services. The evaluation results showed that the generated terms can cover over 58% of all nouns. The translation quality was improved by 40% for all sentences, and the quality rating for all sentences increased by an average of 0.47 points on a five-point scale. These results indicate that we can realize consistent pivot translation services through context-based coordination based on existing services.

本文言語English
ホスト出版物のタイトルIJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence
出版社International Joint Conferences on Artificial Intelligence
ページ1555-1561
ページ数7
ISBN(印刷版)9781577354260
出版ステータスPublished - 2009 1月 1
外部発表はい
イベント21st International Joint Conference on Artificial Intelligence, IJCAI 2009 - Pasadena, United States
継続期間: 2009 7月 112009 7月 16

出版物シリーズ

名前IJCAI International Joint Conference on Artificial Intelligence
ISSN(印刷版)1045-0823

Conference

Conference21st International Joint Conference on Artificial Intelligence, IJCAI 2009
国/地域United States
CityPasadena
Period09/7/1109/7/16

ASJC Scopus subject areas

  • 人工知能

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