Earticle

초록

영어

Sentence-level aligning bilingual parallel corpus is shown significant and indispensable status in machine translation, translation knowledge acquiring and bilingual lexicography research fields, which is the fundamental work for natural language processing. Given the great deal of work in sentence alignment and a variety of methods have developed for bilingual terminology extraction, those are unpractical for newly underway Tibetan information processing because those methods have to use a large number of manufactured sentences as training corpus while extracting inter-translatable word pairs. This paper proposes a multi-strategy Tibetan-Chinese sentence alignment method based on length of sentence, syntactic rules and bilingual dictionary. We test our approach on a bilingual corpus crawled from bilingual website and perform manual evaluation on bilingual sentences pairs extracted from Tibetan-Chinese corpora.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Multi-strategy Tibetan-Chinese Sentence Alignment Method
  3.1 Alignment Model based on Multiple Features
  3.2 Sentence Alignment based on Dictionary
 4. Experiments and Results
 5. Conclusion and Future Work
 Acknowledgements
 References

키워드

저자

• Lirong Qiu [ School of Information Engineering, MinzuUniversity of China Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605