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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52148
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dc.contributor.authorZhernovnikova, Alona
dc.contributor.authorKochueva, Zoia
dc.coverage.temporal23-24 April 2020, Lviv, Ukraine
dc.date.accessioned2020-06-12T11:09:54Z-
dc.date.available2020-06-12T11:09:54Z-
dc.date.created2020-04-23
dc.date.issued2020-04-23
dc.identifier.citationZhernovnikova A. The Relevance of Using Hidden Markov Chains in Solving the Problem of Removing Homonymy / Alona Zhernovnikova, Zoia Kochueva // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 248–250. — (Intelligent Systems).
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/52148-
dc.description.abstractThe use of the method of hidden Markov chains for the removal of morphological homonymy is considered. The effectiveness of this method in relation to various languages is analyzed. The current state of work is described and the main results in this direction are presented, conclusions are drawn about the applicability of this resolution method with an assessment of its accuracy.
dc.format.extent248-250
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofComputational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020
dc.relation.urihttp://aistconf.org/
dc.subjecthomonymy
dc.subjecthidden Markov chains
dc.subjectremoving homonymy
dc.subjectmorphological polysemy
dc.titleThe Relevance of Using Hidden Markov Chains in Solving the Problem of Removing Homonymy
dc.typeArticle
dc.rights.holder© Національний університет “Львівська політехніка”, 2020
dc.contributor.affiliationNational Technical University "Kharkiv Polytechnic Institute"
dc.format.pages3
dc.identifier.citationenZhernovnikova A. The Relevance of Using Hidden Markov Chains in Solving the Problem of Removing Homonymy / Alona Zhernovnikova, Zoia Kochueva // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 248–250. — (Intelligent Systems).
dc.relation.references1. Turdakov, D.Yu.: Metody i programmnyye sredstva razresheniya leksicheskoy mnogoznachnosti terminov na osnove setey dokumentov: avtoref. dis. … kand. tekh. nauk. 05.13.11. Moskva, 2010. 20 p.
dc.relation.references2. Jurafsky, Martin: Speech and Language Processing. Upper SaddleRiver, NJ, USA: Prentice-Hall, Inc., 2009.
dc.relation.references3. Kobritsov, B.P.: Methods for removing semantic ambiguity. NTI, Ser. 2, Vol. 3, 2004.
dc.relation.references4. Lakomkin, E.D., Puzyrevskiy, I.V., Ryzhova, D.A.: Analiz statisticheskikh algorit-mov snyatiya morfologicheskoy omonimii v russkom yazyke. URL: http://aistconf.org/ stuff/aist2013/submissions/aist2013_submission_33.pdf, last accessed 2020/04/09.
dc.relation.references5. Jurafsky, Daniel, James, H. Martin: Speech and Language Processing, 2000.
dc.relation.referencesen1. Turdakov, D.Yu., Metody i programmnyye sredstva razresheniya leksicheskoy mnogoznachnosti terminov na osnove setey dokumentov: avtoref. dis. … kand. tekh. nauk. 05.13.11. Moskva, 2010. 20 p.
dc.relation.referencesen2. Jurafsky, Martin: Speech and Language Processing. Upper SaddleRiver, NJ, USA: Prentice-Hall, Inc., 2009.
dc.relation.referencesen3. Kobritsov, B.P., Methods for removing semantic ambiguity. NTI, Ser. 2, Vol. 3, 2004.
dc.relation.referencesen4. Lakomkin, E.D., Puzyrevskiy, I.V., Ryzhova, D.A., Analiz statisticheskikh algorit-mov snyatiya morfologicheskoy omonimii v russkom yazyke. URL: http://aistconf.org/ stuff/aist2013/submissions/aist2013_submission_33.pdf, last accessed 2020/04/09.
dc.relation.referencesen5. Jurafsky, Daniel, James, H. Martin: Speech and Language Processing, 2000.
dc.citation.spage248
dc.citation.epage250
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
Appears in Collections:Computational linguistics and intelligent systems. – 2020 р.

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