@inproceedings{wright-etal-1991-adaptive,
    title = "Adaptive Probabilistic Generalized {LR} Parsing",
    author = "Wright, Jerry  and
      Wrigley, Ave  and
      Sharman, Richard",
    editor = "Tomita, Masaru  and
      Kay, Martin  and
      Berwick, Robert  and
      Hajicova, Eva  and
      Joshi, Aravind  and
      Kaplan, Ronald  and
      Nagao, Makoto  and
      Wilks, Yorick",
    booktitle = "Proceedings of the Second International Workshop on Parsing Technologies",
    month = feb # " 13-25",
    year = "1991",
    address = "Cancun, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/1991.iwpt-1.12/",
    pages = "100--109",
    abstract = "Various issues in the implementation of generalized LR parsing with probability are discussed. A method for preventing the generation of infinite numbers of states is described and the space requirements of the parsing tables are assessed for a substantial natural-language grammar. Because of a high degree of ambiguity in the grammar, there are many multiple entries and the tables are rather large. A new method for grammar adaptation is introduced which may help to reduce this problem. A probabilistic version of the Tomita parse forest is also described."
}