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학위논문 상세정보

Name Translation by Enhancing Graph Symmetry 원문보기

  • 저자

    차영록

  • 학위수여기관

    포항공과대학교 일반대학원

  • 학위구분

    국내석사

  • 학과

    컴퓨터공학과

  • 지도교수

  • 발행년도

    2014

  • 총페이지

    iv, 30 p.

  • 키워드

  • 언어

    eng

  • 원문 URL

    http://www.riss.kr/link?id=T13533440&outLink=K  

  • 초록

    This paper studies the problem of name translation. Existing approaches represent name co-occurrences in comparable corpora, using two graphs representing names by nodes and co-ocurrences by edges. Then name nodes across the two graphs are aligned by first identifying seed mappings based on phonetic and contextual similarity, then iteratively propagating translation confidence of seeds to co-occurring nodes. However, this propagation accumulates errors in the presence of asymmetry between graphs. This paper resolves asymmetry by handling coreferences and using temporality. To handle coreferences, we abstract translation as the mapping in the entity layer, between coreference clusters in two languages. Also, we found that graphs in particular period are more symmetric because they consists of temporal names. Our empirical study shows that the F1-score of name translation increases by 15% and 6.1% for each approach compared to baseline.


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