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Parsing and Collocations

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Natural Language Processing — NLP 2000 (NLP 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1835))

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Abstract

Proper treatment of collocations constitutes a serious challenge for NLP systems in general. This paper describes how Fips, a “Principle and Parameters” grammar-based parser developed at LATL handles multi-word expressions. In order to get more precise and more reliable collocation data, the Fips parser is used to extract collocations from large text corpora. It will be shown that collocational information can help ranking alternative analyses computed by the parser, in order to improve the quality of its results.

Thanks to Paola Merlo, Luka Nerima, Juri Mengon, and Stephanie Durrleman for comments on an earlier version of this paper. This research was supported in part by a grant from the Swiss Commission for technology and innovation (CTI).

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Author information

Authors and Affiliations

  1. LATL, University of Geneva, Switzerland

    Eric Wehrli

Authors
  1. Eric Wehrli
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Editor information

Editors and Affiliations

  1. Computer Engineering Department and Computer Technology Institute, University of Patras, 26500, Patras, Greece

    Dimitris N. Christodoulakis

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© 2000 Springer-Verlag Berlin Heidelberg

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Wehrli, E. (2000). Parsing and Collocations. In: Christodoulakis, D.N. (eds) Natural Language Processing — NLP 2000. NLP 2000. Lecture Notes in Computer Science(), vol 1835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45154-4_26

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  • DOI: https://doi.org/10.1007/3-540-45154-4_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67605-8

  • Online ISBN: 978-3-540-45154-9

  • eBook Packages: Springer Book Archive

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