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Automated Optimal MT selection supporting XLIFF

Automated Optimal MT selection supporting XLIFF. Naoto Nishio, Dr. Ian O’Keeffe, J.J. Collins, Reinhard Schäler. Problem. MT integration to a localisation workflow is difficult. It requires professional support. Different APIs Manual operation.

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Automated Optimal MT selection supporting XLIFF

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  1. Automated Optimal MT selection supporting XLIFF Naoto Nishio, Dr. Ian O’Keeffe, J.J. Collins, Reinhard Schäler

  2. Problem • MT integration to a localisation workflow is difficult. It requires professional support. • Different APIs • Manual operation. • for example: locate the result, copy and paste the translation result.

  3. Existing service http://imtranslator.net/translation/

  4. Invention: • Provide the unified interface for online MTs. • Currently Microsoft Bing and Yahoo! Babelfish. • Use XLIFF standard • Populate <alt-trans> with relevant attributes and translation.

  5. Support CNGL: • Easily accessible language resources for cost and time effective localisation process (Schäler 2008). • The Concept of Localisation Factory for Next Generation Localisation for effective integration of technology such as MT (Lewis et al 2009).

  6. MT-Mapper UI

  7. Example of a portion of XLIFF

  8. MT-Mapper outputs:

  9. Future work • The MT selection mechanism • Currently a MT output is selected by human translators. • Future: selection before translation towards automation.

  10. Summary • Unified interface for online MTs • Populate a standard file format- XLIFF • These facilitate easy MT integration to a localisation workflow

  11. Thank you. 2006166- DEED OF ASSIGNMENT OF INTELLECTUAL PROPERTY RIGHTS (17022012) This research is supported by the Science Foundation Ireland (Grant 07/CE/I1142) as part of the Centre for Next Generation Localisation (www.cngl.ie) at University of Limerick.

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