Paper: Multi-Engine Machine Translation With Voted Language Model

ACL ID P04-1063
Title Multi-Engine Machine Translation With Voted Language Model
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors
  • Tadashi Nomoto (National Institute of Japanese Literature, Tokyo Japan)

The paper describes a particular approach to multi- engine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from multiple off-the- shelf MT systems. Experiments are done using large corpora from three distinct domains. The study found that the use of voted language models leads to an improved performance of MEMT sys- tems.