Fast query for large treebanks

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    Author
    GHODKE, SUMUKH; BIRD, STEVEN
    Date
    2010
    Source Title
    Human Language Technologies: Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics
    Publisher
    Association for Computational Linguistics
    University of Melbourne Author/s
    GHODKE, SUMUKH; Bird, Steven
    Affiliation
    Engineering - Computer Science and Software Engineering
    Metadata
    Show full item record
    Document Type
    Conference Paper
    Citations
    Ghodke, S., & Bird, S. (2010). Fast query for large treebanks. In Human Language Technologies: Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics, Los Angeles, USA.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/27681
    Description

    This is a pre-print of a paper from Human Language Technologies: Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics 2010 published by Association for Computational Linguistics. http://naaclhlt2010.isi.edu/
    Abstract
    A variety of query systems have been developed for interrogatingparsed corpora, or treebanks. With the arrival of efficient,wide-coverage parsers, it is feasible to create very largedatabases of trees.However, existing approaches that use in-memory search,or relational or XML database technologies, do not scale up.We describe a method for storage, indexing, and query oftreebanks that uses an information retrieval engine.Several experiments with a large treebank demonstrateexcellent scaling characteristics for a wide rangeof query types. This work facilitates the curation ofmuch larger treebanks, and enables them to be used effectivelyin a variety of scientific and engineering tasks.

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