A bidirectional, Transfer-Driven Machine Translation system for spoken dialogues

  • Authors:
  • Yasuhiro Sobashima;Osamu Furuse;Susumu Akamine;Jun Kawai;Hitoshi Iida

  • Affiliations:
  • ATR Interpreting Telecommunications Research Laboratories;ATR Interpreting Telecommunications Research Laboratories;ATR Interpreting Telecommunications Research Laboratories;ATR Interpreting Telecommunications Research Laboratories;ATR Interpreting Telecommunications Research Laboratories

  • Venue:
  • COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
  • Year:
  • 1994

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Abstract

This paper presents a brief overview of the bidirectional (Japanese and English) Transfer-Driven Machine Translation system, currently being developed at ATR. The aim of this development is to achieve bidirectional spoken dialogue translation using a new translation technique, TDMT, in which an example-based framework is fully utilized to translate the whole sentence. Although the translation coverage is presently restricted to conference registration, the system meets requirements for spoken dialogue translation, such as two-way translation, high speed, and high accuracy with robust processing.