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A Morphological Processor for Russian with Extended Functionality

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Analysis of Images, Social Networks and Texts (AIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10716))

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The paper presents an open-source morphological processor of Russian texts recently developed and named CrossMorphy. The processor performs lemmatization, morphological tagging of both dictionary and non-dictionary words, contextual and non-contextual morphological disambiguation, generation of word forms, as well as morphemic parsing of words. Besides the extended functionality, emphasis is put on linguistic quality of word processing and easy integration into programming projects. CrossMorphy is fully implemented in C++ programming language on the base of OpenCorpora vocabulary data. To clarify the reasons of its development, a comparison of several freely available morphological processors for Russian is given, across their linguistic and some technological properties. The experimental evaluation shows that CrossMorphy ensures rather high quality of word processing.

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  1. 1.

  2. 2.

  3. 3.

  4. 4.

  5. 5.

  6. 6.

  7. 7.

  8. 8.

  9. 9.

  10. 10.

  11. 11.

  12. 12.


  1. Bernhard, D.: Simple morpheme labelling in unsupervised morpheme analysis. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D.W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 873–880. Springer, Heidelberg (2007).

    Chapter  Google Scholar 

  2. Bocharov, V., Bichineva, S., Granovsky, D., Ostapuk, N., Stepanova, M.: Quality assurance tools in the opencorpora project. In: Computational Linguistics and Intelligent Technologies: Papers from the Annual International Conference “Dialogue” (2011)

    Google Scholar 

  3. Bolshakov, I.A.: CrossLexica, the universe of links between Russian words. In: Busyness Informatica, No. 3 (2013)

    Google Scholar 

  4. Bolshakova, E., Efremova, N., Noskov, A.: LSPL-patterns as a tool for information extraction from natural language texts. In: New Trends in Classification and Data Mining. Markov, K., et al. (eds.) ITHEA, Sofia, pp. 110–118 (2010)

    Google Scholar 

  5. Daciuk, J., Mihov, S., Watson, B., Watson, R.: Incremental construction of minimal acyclic finite state automata. Comput. Linguist. 26(1), 3–16 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  6. Harris, Z.S.: Morpheme boundaries within words: report on a computer test. In: Transformations and Discourse Analysis Papers, vol. 73, pp. 68–77 (1970)

    Google Scholar 

  7. Korobov, M.: Morphological analyzer and generator for Russian and Ukrainian languages. In: Khachay, M.Y., Konstantinova, N., Panchenko, A., Ignatov, D.I., Labunets, V.G. (eds.) AIST 2015. CCIS, vol. 542, pp. 320–332. Springer, Cham (2015).

    Chapter  Google Scholar 

  8. Kuzmenko, E.: Morphological analysis for Russian: integration and comparison of taggers. In: Ignatov, D.I., Khachay, M.Y., Labunets, V.G., Loukachevitch, N., Nikolenko, S.I., Panchenko, A., Savchenko, A.V., Vorontsov, K. (eds.) AIST 2016. CCIS, vol. 661, pp. 162–171. Springer, Cham (2016).

    Chapter  Google Scholar 

  9. Ljashevskaya, O., Astaf’eva, I., Bonch-Osmolovskaja, A., Garejshina, A., Grishina, J., D’jachkov, V., Ionov, M., Koroleva, A., Kudrinskij, M., Litjagina, A., Luchina, E., Sidorova, E., Toldova, S.: NLP evaluation: Russian morphological parsers. In: Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue”, pp. 318–326 (2010)

    Google Scholar 

  10. Muzychka, S.A., Romanenko, A.A., Piontkovskaja, I.I.: Conditional random field for morphological disambiguation in Russian. In.: Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue”, pp. 456–465 (2014)

    Google Scholar 

  11. Segalovich, I.A.: Fast morphological algorithm with unknown word guessing induced by a dictionary for a web search engine. In: MLMTA, pp. 273–280 (2003)

    Google Scholar 

  12. Shen, Q., Clothiaux, D., Tagtow, E., Littell, P., Dyer, C.: The role of context in neural morphological disambiguation. In: COLING 2016, 26th International Conference on Computational Linguistics. Proceedings of the Conference: Technical Papers, Osaka, Japan. ACL, pp. 181–191 (2016)

    Google Scholar 

  13. Schmid, H.: Probabilistic part-of-speech tagging using decision trees. In: Proceedings of the International Conference on New Methods in Language Processing, pp. 44–49 (1994)

    Google Scholar 

  14. Smit, P., Virpioja, S., Gronroos, S., Kurimo, M.: Morfessor 2.0: toolkit for statistical morphological segmentation. In: Proceedings of the Demonstrations at the Conference of the European Chapter of the ACL, pp. 21–24 (2014)

    Google Scholar 

  15. Sorokin, A., Shavrina, T., Lyashevskaya, O., Bocharov, V., Alexeeva, S., Droganova, K., Fenogenova, A.: MorphoRuEval-2017: an evaluation track for the automatic morphological analysis methods for Russian. In: Computational Linguistics and Intellectual Technologies. Proceedings of International Conference Dialogue 2017, Moscow (2017)

    Google Scholar 

  16. Zaliznjak, A.A.: Grammatical Dictionary of Russian: Inflection. Russkij Jazyk Publisher, Moscow (1977)

    Google Scholar 

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We would like to thank the reviewers of our paper for their helpful comments.

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Correspondence to Elena I. Bolshakova .

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Bolshakova, E.I., Sapin, A.S. (2018). A Morphological Processor for Russian with Extended Functionality. In: van der Aalst, W., et al. Analysis of Images, Social Networks and Texts. AIST 2017. Lecture Notes in Computer Science(), vol 10716. Springer, Cham.

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  • Print ISBN: 978-3-319-73012-7

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