A Framework for Data Management for the Online Volunteer Translators' Aid System QRLex

نویسندگان

  • Youcef Bey
  • Kyo Kageura
  • Christian Boitet
چکیده

A new framework for a system that aids online volunteer translators is proposed. As regards this proposal, first, the current status and conditions of online volunteer translators and their translation environments are examined, and general requirements for a system that would aid these translators are given. Our proposed approach for dealing with heterogeneous data, which involves providing a new XML structure that we have developed for maximizing efficiency and functionalities, is then described.

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تاریخ انتشار 2005