@inproceedings{su-chang-1999-customizable,
    title = "A customizable, self-learning parameterized {MT} system: the next generation",
    author = "Su, Keh-Yih  and
      Chang, Jing-Shin",
    booktitle = "Proceedings of Machine Translation Summit VII",
    month = sep # " 13-17",
    year = "1999",
    address = "Singapore, Singapore",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/1999.mtsummit-1.29/",
    pages = "182--190",
    abstract = "In this paper, the major problems of the current machine translation systems are first outlined. A new direction, highlighting the system capability to be customizable and self-learnable, is then proposed for attacking the described problems, which are mainly resulted from the very complicated characteristics of natural languages. The proposed solution adopts an unsupervised two-way training mechanism and a parameterized architecture to acquire the required statistical knowledge, such that the system can be easily adapted to different domains and various preferences of individual users."
}