Adaptation using out-of-domain corpus within EBMT

  • Authors:
  • Takao Doi;Eiichiro Sumita;Hirofumi Yamamoto

  • Affiliations:
  • ATR Spoken Language Translation Research Laboratories, Kansai Science City, Kyoto, Japan;ATR Spoken Language Translation Research Laboratories, Kansai Science City, Kyoto, Japan;ATR Spoken Language Translation Research Laboratories, Kansai Science City, Kyoto, Japan

  • Venue:
  • NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

In order to boost the translation quality of EBMT based on a small-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an in-domain monolingual corpus. We conducted experiments with an EBMT system. The two evaluation measures of the BLEU score and the NIST score demonstrated the effect of using an out-of-domain bilingual corpus and the possibility of using the language model.