@inproceedings{mohit-etal-2010-using,
    title = "Using Variable Decoding Weight for Language Model in Statistical Machine Translation",
    author = "Mohit, Behrang  and
      Hwa, Rebecca  and
      Lavie, Alon",
    booktitle = "Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers",
    month = oct # " 31-" # nov # " 4",
    year = "2010",
    address = "Denver, Colorado, USA",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2010.amta-papers.17/",
    abstract = "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."
}