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International Conference on Analysis of Images, Social Networks and Texts

AIST 2016: Analysis of Images, Social Networks and Texts pp 162–171Cite as

Morphological Analysis for Russian: Integration and Comparison of Taggers

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 661))

Abstract

In this paper we present a comparison of three morphological taggers for Russian with regard to the quality of morphological disambiguation performed by these taggers. We test the quality of the analysis in three different ways: lemmatization, POS-tagging and assigning full morphological tags. We analyze the mistakes made by the taggers, outline their strengths and weaknesses, and present a possible way to improve the quality of morphological analysis for Russian.

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Notes

  1. 1.

    http://ruscorpora.ru/.

  2. 2.

    https://tech.yandex.ru/mystem/.

  3. 3.

    https://pymorphy2.readthedocs.org/en/latest/.

References

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Acknowledgments

I would like to thank Elmira Mustakimova, Svetlana Toldova and Timofey Arkhangelskiy for their participation in the project. I am also grateful to Mikhail Korobov for his valuable remarks on pymorphy performance and explanations of error causes (and for developing pymorphy, of course).

This article is an output of a research project implemented as part of the Basic Research Program at the National Research University Higher School of Economics (HSE).

Author information

Authors and Affiliations

  1. National Research University Higher School of Economics, Moscow, Russia

    Elizaveta Kuzmenko

Authors
  1. Elizaveta Kuzmenko
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Correspondence to Elizaveta Kuzmenko .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  2. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  3. Ural Federal University, Yekaterinbug, Russia

    Valeri G. Labunets

  4. Research Computing Center, Lomonosov Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Sergey I. Nikolenko

  6. Technische Universität Darmstadt, Darmstadt, Germany

    Alexander Panchenko

  7. Laboratory of Algorithms and Technologies for Networks Analysis, National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  8. Dorodnicyn Computing Centre of Russian Academy of Sciences, Moscow, Russia

    Konstantin Vorontsov

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Kuzmenko, E. (2017). Morphological Analysis for Russian: Integration and Comparison of Taggers. In: Ignatov, D., et al. Analysis of Images, Social Networks and Texts. AIST 2016. Communications in Computer and Information Science, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-319-52920-2_16

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  • DOI: https://doi.org/10.1007/978-3-319-52920-2_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52919-6

  • Online ISBN: 978-3-319-52920-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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