@inproceedings{soricut-etal-2002-using,
    title = "Using a large monolingual corpus to improve translation accuracy",
    author = "Soricut, Radu  and
      Knight, Kevin  and
      Marcu, Daniel",
    editor = "Richardson, Stephen D.",
    booktitle = "Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers",
    month = oct # " 8-12",
    year = "2002",
    address = "Tiburon, USA",
    publisher = "Springer",
    url = "https://preview.aclanthology.org/fix-sig-urls/2002.amta-papers.16/",
    pages = "155--164",
    abstract = "The existence of a phrase in a large monolingual corpus is very useful information, and so is its frequency. We introduce an alternative approach to automatic translation of phrases/sentences that operationalizes this observation. We use a statistical machine translation system to produce alternative translations and a large monolingual corpus to (re)rank these translations. Our results show that this combination yields better translations, especially when translating out-of-domain phrases/sentences. Our approach can be also used to automatically construct parallel corpora from monolingual resources."
}