Morphological Analysis and Generation for Machine Translation from and to Arabic

نویسندگان

  • Sadik Bessou
  • Mohamed Touahria
  • AlDam Rasha Samih
چکیده

In this paper, we present machine translation importance and the need of a linguistic treatment for the transfer based approach, then we present our method in analysis and generation based on linguistic features of Arabic word, dealing with scheme concept; to extract morphological information, these information is very useful in tree generation and structural transfer.

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تاریخ انتشار 2011