@inproceedings{foster-etal-2002-text,
    title = "Text prediction with fuzzy alignment",
    author = "Foster, George  and
      Langlais, Philippe  and
      Lapalme, Guy",
    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/add-emnlp-2024-awards/2002.amta-papers.5/",
    pages = "44--53",
    abstract = "Text prediction is a form of interactive machine translation that is well suited to skilled translators. In recent work it has been shown that simple statistical translation models can be applied within a usermodeling framework to improve translator productivity by over 10{\%} in simulated results. For the sake of efficiency in making real-time predictions, these models ignore the alignment relation between source and target texts. In this paper we introduce a new model that captures fuzzy alignments in a very simple way, and show that it gives modest improvements in predictive performance without significantly increasing the time required to generate predictions."
}