Earticle

초록

영어

Named entity (NE) translation is a fundamental task in machine translation (MT) and cross-language information retrieval (CLIR). Furthermore, Organization name (ON) translation is the most complex among all the NEs. A novel system for translating ONs from Chinese to English, with a translation model and web resources, is proposed. Firstly, we built a translation model with Chunk. Then query expansion was adopted with the translation model and term-subject co-occurrence. Thirdly, we extracted the Chinese Organization names with English sentences using the method of frequency shifting and adjacency information to find English fragments as translation candidates. Finally, we found the best translation by computing the trustworthiness of all candidates. The experimental results showed that the approach returned a better performance than machine translation-based systems.

목차

Abstract
 1. Introduction
 2. Relevant Research
 3. The Framework Structure
 4. ON Translation by Chunk-based Model
  4.1. The ON Internal Alignment Method based on Transverse Expansion of the Aligning Anchor
  4.2 The Chunk-based Translation of ONs
 5. Construction of the Query Expansion Method
  5.1 Method based on Thesaurus Translation
  5.2 Searching Construction: ON Translation Results
 6. Extraction of Translation Results
  6.1 Extraction of Candidate Translation String
  6.2 Sequencing of Candidate Translation Strings
 7. Results and Analysis of Experimental Data
  7.1 Performance Test: Alignment Methods
  7.2 Comparison of Query Expansion Methods
 8. Conclusions and Future Work
 References

키워드

저자

• Bin Li [ Anhui Radio and Television University, No. 398, Tongcheng Road, Hefei City, Anhui Province, China ]
• Yin Zhou [ Hubei Engineering University, No.272, Jiaotong Road, Xiaogan City, Hubei Province, China ]
• Ning Ma [ Anhui Radio and Television University, No. 398, Tongcheng Road, Hefei City, Anhui Province, China ]
• Wuqi Liang [ Anhui Radio and Television University, No. 398, Tongcheng Road, Hefei City, Anhui Province, China ]
• Lulu Dong [ Anhui Radio and Television University, No. 398, Tongcheng Road, Hefei City, Anhui Province, 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