Large and Diverse Language Models for Statistical Machine Translation

by Holger Schwenk

Citations:

3 - 0 self

Datum	Value	Source
TITLE	Large and Diverse Language Models for Statistical Machine Translation	SVM HeaderParse 0.2
AUTHOR NAME	Holger Schwenk	SVM HeaderParse 0.2
AUTHOR AFFIL	LIMSI- CNRS	SVM HeaderParse 0.2
AUTHOR ADDR	France	SVM HeaderParse 0.2
ABSTRACT	This paper presents methods to combine large language models trained from diverse text sources and applies them to a stateof-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. 1	SVM HeaderParse 0.2
CITATIONS	15 found	ParsCit 1.0