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    An Overview of the Challenges and Progress in PeEn-SMT: First Large Scale Persian-English SMT System

    Mohaghegh, Mahsa; Sarrafzadeh, Hossein

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    Date
    2011
    Citation:
    Mohaghegh, M., and Sarrafzadeh, A. (2011). An Overview of the Challenges and Progress in PeEn-SMT: First Large Scale Persian-English SMT System. Seventh International Conference on Innovations in Information Technology , Abu Dhabi, UAE.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/2227
    Abstract
    This paper documents recent work carried out for PeEn-SMT, our Statistical Machine Translation system for translation between the English-Persian language pair. We give details of our previous SMT system, and present our current development of significantly larger corpora. We explain how recent tests using much larger corpora helped to evaluate problems in parallel corpus alignment, corpus content, and how matching the domains of PeEn-SMT’s components affect translation outcome. We then focus on combining corpora and approaches to improve test data, showing details of experimental setup, together with a number of experiment results and comparisons between them. We show how one combination of corpora gave us a metric score outperforming Google Translate for the English-to-Persian translation. Finally, we outline areas of our intended future work, and how we plan to improve the performance of our system to achieve higher metric scores, and ultimately to provide accurate, reliable language translation.
    Keywords:
    Statistical Machine translation- English-Persian, Language Model
    ANZSRC Field of Research:
    089999 Information and Computing Sciences not elsewhere classified
    Copyright Holder:
    Author

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    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. These documents or images may be used for research or private study purposes. Whether they can be used for any other purpose depends upon the Copyright Notice above. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Conference Papers [150]

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