Rapid Porting of DUSTer to Hindi

Bonnie J. Dorr, Necip Fazil Ayan, Nizar Habash, Nitin Madnani, Rebecca Hwa

Research output: Contribution to journalArticlepeer-review

Abstract

The frequent occurrence of divergences-structural differences between languages-presents a great challenge for statistical word-level alignment and machine translation. This paper describes the adaptation of DUSTer, a divergence unraveling package, to Hindi during the DARPA TIDES-2003 Surprise Language Exercise. We show that it is possible to port DUSTer to Hindi in under 3 days.

Original languageEnglish (US)
Pages (from-to)118-123
Number of pages6
JournalACM Transactions on Asian Language Information Processing
Volume2
Issue number2
DOIs
StatePublished - Jun 1 2003

Keywords

  • Divergences
  • Experimentation
  • Languages
  • machine translation

ASJC Scopus subject areas

  • General Computer Science

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