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    A Statistical Approach to English-Persian Machine Translation

    Mohaghegh, Mahsa

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    Date
    2010
    Citation:
    Mohaghegh, M. (2010). A Statistical Approach to English-Persian Machine Translation. Proceedings of NZCSRSC New Zealand Computer Science Research Student Conference. Wellington, New Zealand, 12-15 April.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/2225
    Abstract
    Statistical Machine Translation has successfully been used for translation between many language pairs contributing to its popularity in recent years. It has however not been used for the English/Persian language pair. This paper presents the first such attempt and describes the problems faced in creating a corpus and building a base line system. Our experience with the construction of a parallel corpus during this ongoing study and the problems encountered especially with the process of alignment are discussed in this paper. The prototype constructed and its evaluation using the BiLingual Evaluation Understudy (BLEU) is briefly described and results are analyzed. In the final part of the paper, conclusions are drawn and work planned for the future is discussed.
    Keywords:
    statistical machine translation (SMT), Bi-lingual Corpora, Moses, Web 2.0
    ANZSRC Field of Research:
    089999 Information and Computing Sciences not elsewhere classified
    Copyright Holder:
    Author
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Conference Papers [147]

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