Abstract
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 machine translation system. We show gains of over 2 BLEU points over a strong baseline by using continuous space language models in re-ranking.
Original language | English |
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Title of host publication | Third International Joint Conference on Natural Language Processing, IJCNLP 2008, Hyderabad, India, January 7-12, 2008 |
Pages | 661-666 |
Number of pages | 6 |
Publication status | Published - 2008 |