• DocumentCode
    2329556
  • Title

    Semantic understanding by combining extended CFG parser with HMM model

  • Author

    Xu, Yushi ; Seneff, Stephanie ; Li, Alice ; Polifroni, Joe

  • Author_Institution
    Spoken Language Syst. Group, MIT CSAIL, Cambridge, MA, USA
  • fYear
    2010
  • fDate
    12-15 Dec. 2010
  • Firstpage
    67
  • Lastpage
    72
  • Abstract
    This paper presents a method for extracting both syntactic and semantic tags. An extended CFG parser works in conjunction with an HMM model, which handles unknown words and partially known words, to yield a complete syntactic and semantic interpretation of the utterance. Four experiments and applications were performed using the paradigm to show the usefulness of the approach in processing spoken sentences.
  • Keywords
    context-free grammars; hidden Markov models; interactive systems; natural language processing; speech processing; speech recognition; CFG parser; HMM model; context free grammar; semantic tag; spoken sentence processing; syntactic tag; Data Labeling; HMM; Lexicon Development; Spoken Language Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spoken Language Technology Workshop (SLT), 2010 IEEE
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-7904-7
  • Electronic_ISBN
    978-1-4244-7902-3
  • Type

    conf

  • DOI
    10.1109/SLT.2010.5700824
  • Filename
    5700824
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2329556