Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/8615
Title: Corpus-driven Approaсh to Ukrainian Е-anecdotes Study
Authors: Palchevska, Oleksandra
Luchyk, Alla
Taran, Oksana
Sharmanova, Natalia
Demydenko, Ganna
Keywords: Corpus
the Ukrainian language е-anecdote
frequency
score
Skecth Engine
Issue Date: 2021
Publisher: Kharkiv, Ukraine, April 22-23, 2021
Citation: A. Luchyk, O.Taran, O. Palchevska, N. Sharmanova, G. Demydenko Corpus-driven Approaсh to Ukrainian Е-anecdotes Study. CEUR Workshop Proceedings. Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Volume I: Main Conference. Kharkiv, Ukraine, April 22-23, 2021. P. 424–434.
Series/Report no.: CEUR Workshop Proceedings. Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Volume I: Main Conference.;
Abstract: The Ukrainian е-anecdotes corpus was created in order to describe structural and linguistic features of Ukrainian e-anecdotes. It contains 500 anecdotes, its volume is 18,582 tokens. Corpus-driven approach with Sketch Engine corpus management allowed to describe some linguistic and quantitative characteristics of Ukrainian e-anecdotes, to identify rare/unusual words in the corpus of e-anecdotes and interpret them, to analyze the keyword collocations and to determine linguistic and genre features of Ukrainian anecdotes, as well as to identify the ethnonymic collocations as the ethnic stereotypes markers
URI: http://sci.ldubgd.edu.ua:8080/jspui/handle/123456789/8615
Appears in Collections:2021

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