Report of NEWS 2012 machine transliteration shared task

  • Authors:
  • Min Zhang;Haizhou Li;A. Kumaran;Ming Liu

  • Affiliations:
  • Institute for Infocomm Research, A*STAR, Singapore;Institute for Infocomm Research, A*STAR, Singapore;Multilingual Systems Research, Microsoft Research India;Institute for Infocomm Research, A*STAR, Singapore

  • Venue:
  • NEWS '12 Proceedings of the 4th Named Entity Workshop
  • Year:
  • 2012

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Abstract

This report documents the Machine Transliteration Shared Task conducted as a part of the Named Entities Workshop (NEWS 2012), an ACL 2012 workshop. The shared task features machine transliteration of proper names from English to 11 languages and from 3 languages to English. In total, 14 tasks are provided. 7 teams participated in the evaluations. Finally, 57 standard and 1 non-standard runs are submitted, where diverse transliteration methodologies are explored and reported on the evaluation data. We report the results with 4 performance metrics. We believe that the shared task has successfully achieved its objective by providing a common benchmarking platform for the research community to evaluate the state-of-the-art technologies that benefit the future research and development.