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Comparative Evaluation and Integration of Collocation Extraction Metrics

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Text, Speech, and Dialogue (TSD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10415))

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Abstract

The paper deals with collocation extraction from corpus data. A whole number of formulae have been created to integrate different factors that determine the association between the collocation components. The experiments are described which objective was to study the method of collocation extraction based on the statistical association measures. The work is focused on bigram collocations. The obtained data on the measure precision allow to establish to some degree that some measures are more precise than others. No measure is ideal, which is why various options of their integration are desirable and useful. We propose a number of parameters that allow to rank collocates in an combined list, namely, an average rank, a normalized rank and an optimized rank.

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Acknowledgments

This work was partly supported by the grant of the Russian Foundation for Humanities (research project No. 16-04-12019).

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Authors and Affiliations

  1. Saint-Petersburg State University, Universitetskaya emb., 7-9, 199034, Saint-Petersburg, Russia

    Victor Zakharov

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  1. Victor Zakharov
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Correspondence to Victor Zakharov .

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Editors and Affiliations

  1. University of West Bohemia, Pilsen, Czech Republic

    Kamil Ekštein

  2. University of West Bohemia, Pilsen, Czech Republic

    Václav Matoušek

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Zakharov, V. (2017). Comparative Evaluation and Integration of Collocation Extraction Metrics. In: Ekštein, K., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2017. Lecture Notes in Computer Science(), vol 10415. Springer, Cham. https://doi.org/10.1007/978-3-319-64206-2_29

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  • DOI: https://doi.org/10.1007/978-3-319-64206-2_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64205-5

  • Online ISBN: 978-3-319-64206-2

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