@inproceedings{seneff-etal-2006-combining,
    title = "Combining Linguistic and Statistical Methods for Bi-directional {E}nglish {C}hinese Translation in the Flight Domain",
    author = "Seneff, Stephanie  and
      Wang, Chao  and
      Lee, John",
    booktitle = "Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers",
    month = aug # " 8-12",
    year = "2006",
    address = "Cambridge, Massachusetts, USA",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2006.amta-papers.24/",
    pages = "213--222",
    abstract = "In this paper, we discuss techniques to combine an interlingua translation framework with phrase-based statistical methods, for translation from Chinese into English. Our goal is to achieve high-quality translation, suitable for use in language tutoring applications. We explore these ideas in the context of a flight domain, for which we have a large corpus of English queries, obtained from users interacting with a dialogue system. Our techniques exploit a pre-existing English-to-Chinese translation system to automatically produce a synthetic bilingual corpus. Several experiments were conducted combining linguistic and statistical methods, and manual evaluation was conducted for a set of 460 Chinese sentences. The best performance achieved an {\textquotedblleft}adequate{\textquotedblright} or better analysis (3 or above rating) on nearly 94{\%} of the 409 parsable subset. Using a Rover scheme to combine four systems resulted in an {\textquotedblleft}adequate or better{\textquotedblright} rating for 88{\%} of all the utterances."
}