@inproceedings{dyer-2007-university,
    title = "The {U}niversity of {M}aryland translation system for {IWSLT} 2007",
    author = "Dyer, Christopher J.",
    booktitle = "Proceedings of the Fourth International Workshop on Spoken Language Translation",
    month = oct # " 15-16",
    year = "2007",
    address = "Trento, Italy",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2007.iwslt-1.28/",
    abstract = "This paper describes the University of Maryland statistical machine translation system used in the IWSLT 2007 evaluation. Our focus was threefold: using hierarchical phrase-based models in spoken language translation, the incorporation of sub-lexical information in model estimation via morphological analysis (Arabic) and word and character segmentation (Chinese), and the use of n-gram sequence models for source-side punctuation prediction. Our efforts yield significant improvements in Chinese-English and Arabic-English translation tasks for both spoken language and human transcription conditions."
}