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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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).
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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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