Identify of the substantive, attribute, and verb collocations in russian text

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dc.citation.epage68
dc.citation.journalTitleComputational Linguistics and Intelligent Systems
dc.citation.spage66
dc.citation.volume2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019
dc.contributor.affiliationNational Technical University «Kharkiv Polytechnic Institute»
dc.contributor.authorLytvynenko, Julia
dc.coverage.placenameLviv
dc.date.accessioned2019-10-31T13:21:01Z
dc.date.available2019-10-31T13:21:01Z
dc.date.created2019-04-18
dc.date.issued2019-04-18
dc.description.abstractThis article describes methods and existing libraries for POS-tagging and collocations extraction, using NLP technologies, processing natural language text in the Python programming language. In addition, it describes one of the possible methods for the selection of collocations for a given pattern.
dc.format.extent66-68
dc.format.pages3
dc.identifier.citationLytvynenko J. Identify of the substantive, attribute, and verb collocations in russian text / Julia Lytvynenko // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 66–68. — (Student section).
dc.identifier.citationenLytvynenko J. Identify of the substantive, attribute, and verb collocations in russian text / Julia Lytvynenko // Computational Linguistics and Intelligent Systems. — Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 66–68. — (Student section).
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/45485
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofComputational Linguistics and Intelligent Systems (2), 2019
dc.relation.referencesen1. Khokhlova, M., Zakharov, V.: Study of effectiveness of statistical measures for collocation extraction on russian texts. Computer linguistics and intellectual technologies, 9 (16), pp. 137-143 (2010) In Russian.
dc.relation.referencesen2. Yarowsky, D.: One sense per collocation. In: 93 Proceedings of the workshop on Human Language Technology, pp. 266-271 (1993)
dc.relation.referencesen3. Kilgarriff, A., Rychly, P., Smrz, P., Tugwell, D.: The Sketch Engine. In: Proceedings of the Eleventh EURALEX International Congress. Lorient, pp.105–116 (2004)
dc.relation.referencesen4. Fano, R.: Transmission of Information, Cambridge (MA)(1961)
dc.relation.referencesen5. Jurafsky, D.: Speech and Language Processing, Stanford University, University of Colorado at Boulder, 558p. (2018)
dc.rights.holder© 2019 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.
dc.subjectPOS-tagging
dc.subjectPython
dc.subjectcollocation
dc.subjectcorpus linguistics
dc.subjectcollocations extraction
dc.subjectmorphological marking
dc.subjectcomputer linguistics
dc.subjectintellectual technologies
dc.titleIdentify of the substantive, attribute, and verb collocations in russian text
dc.typeArticle

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