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Comparative Evaluation and Integration of Collocation Extraction Metrics

  • Victor Zakharov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10415)

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.

Keywords

Collocation extraction Association measures Evaluation Ranking Average rank Normalized rank Optimized rank 

Notes

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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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Saint-Petersburg State UniversitySaint-PetersburgRussia

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