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Designing an Extensible API for Integrating Language Modeling and Realization

Michael White

Published 2005 in Annual Meeting of the Association for Computational Linguistics

ABSTRACT

We present an extensible API for integrating language modeling and realization, describing its design and efficient implementation in the OpenCCG surface realizer. With OpenCCG, language models may be used to select realizations with preferred word orders, promote alignment with a conversational partner, avoid repetitive language use, and increase the speed of the best-first anytime search. The API enables a variety of n-gram models to be easily combined and used in conjunction with appropriate edge pruning strategies. The n-gram models may be of any order, operate in reverse ("right-to-left"), and selectively replace certain words with their semantic classes. Factored language models with generalized backoff may also be employed, over words represented as bundles of factors such as form, pitch accent, stem, part of speech, supertag, and semantic class.

PUBLICATION RECORD

  • Publication year

    2005

  • Venue

    Annual Meeting of the Association for Computational Linguistics

  • Publication date

    2005-06-30

  • Fields of study

    Computer Science

  • Identifiers
    DOI 10.3115/1626315.1626319
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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