Multi-Engine Machine Translation with Voted Language Model

The paper describes a particular approach to multiengine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from multiple off-theshelf 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 systems.

• Type: Conference
• Year: 2004
• Where: ACL
• Authors: Tadashi Nomoto
• Keywords: ACL 2004, ACL 2007, Off-theshelf Mt Systems, Translation Outputs, Voted Language Models