Paper: Large and Diverse Language Models for Statistical Machine Translation

ACL ID I08-2089
Title Large and Diverse Language Models for Statistical Machine Translation
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

This paper presents methods to combine large language models trained from diverse text sources and applies them to a state-of- art French–English and Arabic–English ma- chine translation system. We show gains of over 2 BLEU points over a strong baseline by using continuous space language models in re-ranking.