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  1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
  2. Електронний архів Науково-технічної бібліотеки
  3. Матеріали конференцій
  4. Computational linguistics and intelligent systems
  5. Computational linguistics and intelligent systems. – 2020 р.

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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52148
Title: The Relevance of Using Hidden Markov Chains in Solving the Problem of Removing Homonymy
Authors: Zhernovnikova, Alona
Kochueva, Zoia
Affiliation: National Technical University "Kharkiv Polytechnic Institute"
Bibliographic description (Ukraine): Zhernovnikova 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).
Bibliographic description (International): Zhernovnikova 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).
Is part of: Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020
Issue Date: 23-Apr-2020
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
Temporal Coverage: 23-24 April 2020, Lviv, Ukraine
Keywords: homonymy
hidden Markov chains
removing homonymy
morphological polysemy
Number of pages: 3
Page range: 248-250
Start page: 248
End page: 250
Abstract: The 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.
URI: https://ena.lpnu.ua/handle/ntb/52148
ISSN: 2523-4013
Copyright owner: © Національний університет “Львівська політехніка”, 2020
URL for reference material: http://aistconf.org/
References (Ukraine): 1. 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.
2. Jurafsky, Martin: Speech and Language Processing. Upper SaddleRiver, NJ, USA: Prentice-Hall, Inc., 2009.
3. Kobritsov, B.P.: Methods for removing semantic ambiguity. NTI, Ser. 2, Vol. 3, 2004.
4. 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.
5. Jurafsky, Daniel, James, H. Martin: Speech and Language Processing, 2000.
References (International): 1. 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.
2. Jurafsky, Martin: Speech and Language Processing. Upper SaddleRiver, NJ, USA: Prentice-Hall, Inc., 2009.
3. Kobritsov, B.P., Methods for removing semantic ambiguity. NTI, Ser. 2, Vol. 3, 2004.
4. 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.
5. Jurafsky, Daniel, James, H. Martin: Speech and Language Processing, 2000.
Content type: Article
Appears in Collections:Computational linguistics and intelligent systems. – 2020 р.

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