Report of NEWS 2010 transliteration generation shared task

  • Authors:
  • Haizhou Li;A Kumaran;Min Zhang;Vladimir Pervouchine

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

  • Venue:
  • NEWS '10 Proceedings of the 2010 Named Entities Workshop
  • Year:
  • 2010

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Abstract

This report documents the Transliteration Generation Shared Task conducted as a part of the Named Entities Workshop (NEWS 2010), an ACL 2010 workshop. The shared task features machine transliteration of proper names from English to 9 languages and from 3 languages to English. In total, 12 tasks are provided. 7 teams from 5 different countries participated in the evaluations. Finally, 33 standard and 8 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.