• Login
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Incremental Grammar Induction from Child-Directed Dialogue Utterances 
    •   QMRO Home
    • School of Electronic Engineering and Computer Science
    • Electronic Engineering and Computer Science
    • Incremental Grammar Induction from Child-Directed Dialogue Utterances
    •   QMRO Home
    • School of Electronic Engineering and Computer Science
    • Electronic Engineering and Computer Science
    • Incremental Grammar Induction from Child-Directed Dialogue Utterances
    ‌
    ‌

    Browse

    All of QMROCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    ‌
    ‌

    Administrators only

    Login
    ‌
    ‌

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Incremental Grammar Induction from Child-Directed Dialogue Utterances

    Pagination
    94 - 103 (9)
    Publisher
    Association for Computational Linguistics
    Publisher URL
    http://www.aclweb.org/anthology/W13-2611
    ISBN-13
    9781937284619
    Metadata
    Show full item record
    Abstract
    We describe a method for learning an incremental semantic grammar from data in which utterances are paired with logical forms representing their meaning. Work- ing in an inherently incremental framework, Dynamic Syntax, we show how words can be associated with probabilistic procedures for the incremental projection of meaning, providing a grammar which can be used directly in incremental prob- abilistic parsing and generation. We test this on child-directed utterances from the CHILDES corpus, and show that it results in good coverage and semantic accuracy, without requiring annotation at the word level or any independent notion of syntax
    Authors
    Eshghi, A; Hough, J; Purver, M; Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL)
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/18253
    Collections
    • Electronic Engineering and Computer Science [2375]
    Copyright statements
    © 2013 Association for Computational Linguistics
    Twitter iconFollow QMUL on Twitter
    Twitter iconFollow QM Research
    Online on twitter
    Facebook iconLike us on Facebook
    • Site Map
    • Privacy and cookies
    • Disclaimer
    • Accessibility
    • Contacts
    • Intranet
    • Current students

    Modern Slavery Statement

    Queen Mary University of London
    Mile End Road
    London E1 4NS
    Tel: +44 (0)20 7882 5555

    © Queen Mary University of London.