@inproceedings{wright-wrigley-1989-probabilistic,
    title = "Probabilistic {LR} Parsing for Speech Recognition",
    author = "Wright, J. H.  and
      Wrigley, E. N.",
    editor = "Tomita, Masaru",
    booktitle = "Proceedings of the First International Workshop on Parsing Technologies",
    month = aug,
    year = "1989",
    address = "Pittsburgh, Pennsylvania, USA",
    publisher = "Carnegy Mellon University",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W89-0211/",
    pages = "105--114",
    abstract = "An LR parser for probabilistic context-free grammars is described. Each of the standard versions of parser generator (SLR, canonical and LALR) may be applied. A graph-structured stack permits action conflicts and allows the parser to be used with uncertain input, typical of speech recognition applications. The sentence uncertainty is measured using entropy and is significantly lower for the grammar than for a first-order Markov model."
}