Lexical association measures and collocation extraction.

We present an extensive empirical evaluation of collocation extraction methods based on lexical association measures and their combination. The experiments are performed on three sets of collocation candidates extracted from the Prague Dependency Treebank with manual morphosyntactic annotation and f...

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Published in:Language Resources & Evaluation Vol. 44; no. 1/2; pp. 137 - 159
Main Author: Pecina, Pavel
Format: Article
Published: Springer Nature Apr2010
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Apr2010
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      pub: Springer Nature
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        10.1007/s10579-009-9101-4
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        atl: Lexical association measures and collocation extraction.
      aug:
        au: Pecina, Pavel
        affil: Institute of Formal and Applied Linguistics, Charles University, Prague, Czech Republic.
      su:
        Lexicon
        Syntax (Grammar)
        Linguistics
        Language & languages
        Annotations
      sug:
        subj:
          Lexicon
          Syntax (Grammar)
          Linguistics
          Language & languages
          Annotations
      keyword:
        Collocations
        Evaluation
        Lexical association measures
        Multiword expressions
      ab: We present an extensive empirical evaluation of collocation extraction methods based on lexical association measures and their combination. The experiments are performed on three sets of collocation candidates extracted from the Prague Dependency Treebank with manual morphosyntactic annotation and from the Czech National Corpus with automatically assigned lemmas and part-of-speech tags. The collocation candidates were manually labeled as collocational or non-collocational. The evaluation is based on measuring the quality of ranking the candidates according to their chance to form collocations. Performance of the methods is compared by precision-recall curves and mean average precision scores. The work is focused on two-word (bigram) collocations only. We experiment with bigrams extracted from sentence dependency structure as well as from surface word order. Further, we study the effect of corpus size on the performance of the individual methods and their combination.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2010. All Rights Reserved.
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          year: 2010
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