Whitepaper of NEWS 2010 shared task on transliteration generation

  • 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

Transliteration is defined as phonetic translation of names across languages. Transliteration of Named Entities (NEs) is necessary in many applications, such as machine translation, corpus alignment, cross-language IR, information extraction and automatic lexicon acquisition. All such systems call for high-performance transliteration, which is the focus of shared task in the NEWS 2010 workshop. The objective of the shared task is to promote machine transliteration research by providing a common benchmarking platform for the community to evaluate the state-of-the-art technologies.