Open Data Vocabularies for Assigning Usage Rights to Translation Memories

نویسندگان

  • David Lewis
  • Kaniz Fatema
  • Alfredo Maldonado
  • Brian Walshe
  • Arturo Calvo
چکیده

An assessment of the intellectual property requirements for data used in machine-aided translation is provided based on a recent EC-funded legal review. This is compared against the capabilities offered by current linked open data standards from the W3C for publishing and sharing translation memories from translation projects, and proposals for adequately addressing the intellectual property needs of stakeholders in translation projects using open data vocabularies are suggested.

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تاریخ انتشار 2016