Date of Original Version
Proceedings of the Ninth Biennial Conference of the Association for Machine Translation in the Americas
Copyright 2010 AMTA
Abstract or Description
This paper investigates varying the decoder weight of the language model (LM) when translating different parts of a sentence. We determine the condition under which the LM weight should be adapted. We find that a better translation can be achieved by varying the LM weight when decoding the most problematic spot in a sentence, which we refer to as a difficult segment. Two adaptation strategies are proposed and compared through experiments. We find that adapting a different LM weight for every difficult segment resulted in the largest improvement in translation quality
Proceedings of the Ninth Biennial Conference of the Association for Machine Translation in the Americas.