• DocumentCode
    3300266
  • Title

    Bootstrapping word alignment by automatically generated bilingual dictionary

  • Author

    Zhu, Danqing ; Chang, Baobao

  • Author_Institution
    Inst. of Comput. Linguistics, Peking Univ., Beijing
  • fYear
    2008
  • fDate
    19-22 Oct. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents a new approach to improve the word alignment. Building a bilingual dictionary is one of the main applications for word alignment. However, the research of using the bilingual dictionary to improve the word alignment is not enough. There are two bottlenecks. The first is that large bilingual dictionary is hard to get. The second is that the normal approach of using bilingual dictionary does not make full use of the dictionary. We designed a bootstrapping algorithm to conquer the bottlenecks, achieving a good result.
  • Keywords
    dictionaries; language translation; natural language processing; automatically generated bilingual dictionary; bootstrapping algorithm; word alignment; Data engineering; Dictionaries; Information retrieval; Libraries; Natural languages; Optical computing; Performance evaluation; Relational databases; Spatial databases; Testing; Bootstrapping; Machine Learning; Word Alignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4515-8
  • Electronic_ISBN
    978-1-4244-2780-2
  • Type

    conf

  • DOI
    10.1109/NLPKE.2008.4906750
  • Filename
    4906750