@inproceedings{kita-etal-1989-parsing,
    title = "Parsing Continuous Speech by {HMM}-{LR} Method",
    author = "Kita, Kenji  and
      Kawabata, Takeshi  and
      Saito, Hiroaki",
    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/W89-0213/",
    pages = "126--131",
    abstract = "This paper describes a speech parsing method called HMM-LR. In HMM-LR, an LR parsing table is used to predict phones in speech input, and the system drives an HMM-based speech recognizer directly without any intervening structures such as a phone lattice. Very accurate, efficient speech parsing is achieved through the integrated processes of speech recognition and language analysis. The HMM-LR m ethod is applied to large-vocabulary speaker-dependent Japanese phrase recognition. The recognition rate is 87.1{\%} for the top candidates and 97.7{\%} for the five best candidates."
}