Example-based Machine Translation Pursuing Fully Structural NLP

Sadao Kurohashi, Toshiaki Nakazawa, Kauffmann Alexis, Daisuke Kawahara

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

We are conducting Example-Based Machine Translation research aiming at the improvement both of structural NLP and machine translation. This paper describes UTokyo system challenged IWSLT05 Japanese-English translation tasks.

Original languageEnglish
Pages197-202
Number of pages6
Publication statusPublished - 2005
Event2nd International Workshop on Spoken Language Translation, IWSLT 2005 - Pittsburgh, United States
Duration: 2005 Oct 242005 Oct 25

Conference

Conference2nd International Workshop on Spoken Language Translation, IWSLT 2005
Country/TerritoryUnited States
CityPittsburgh
Period05/10/2405/10/25

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Linguistics and Language

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