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| dc.contributor.author | Luchyk, Alla
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| dc.contributor.author | Taran, Oksana
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| dc.contributor.author | Palchevska, Oleksandra
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| dc.contributor.author | Sharmanova, Natalia
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| dc.contributor.author | Demydenko, Ganna
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| dc.date.accessioned | 2021-10-29T11:07:58Z | |
| dc.date.available | 2021-10-29T11:07:58Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Corpus-driven approach to Ukrainian E-anecdotes study / Luchyk A., Taran O., Palchevska O., Sharmanova N., Demydenko G. // CEUR Workshop Proceedings : 5th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Main Conference, COLINS 2021, 22-23 April 2021. - 2021. - Vol. 2870. - P. 424-434. | uk_UA |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | http://ekmair.ukma.edu.ua/handle/123456789/21309 | |
| dc.description.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. | uk_UA |
| dc.language.iso | en | uk_UA |
| dc.subject | Corpus | uk_UA |
| dc.subject | the Ukrainian language е-anecdote | uk_UA |
| dc.subject | frequency | uk_UA |
| dc.subject | score | uk_UA |
| dc.subject | Skecth Engine | uk_UA |
| dc.subject | conference materials | uk_UA |
| dc.subject | article | |
| dc.title | Corpus-driven Approaсh to Ukrainian Е-anecdotes Study | uk_UA |
| dc.type | Conference materials | uk_UA |
| dc.status | first published | uk_UA |
| dc.relation.source | CEUR Workshop Proceedings: 5th International Conference on Computational Linguistics and Intelligent Systems | uk_UA |