KALLAS, Jelena, Vít SUCHOMEL and Maria KHOKHLOVA. Automated Identification of Domain Preferences of Collocations. Online. In Iztok Kosem et al. Electronic Lexicography in the 21st Century. Proceedings of Elex 2017 Conference. Brno, Czech Republic: Lexical Computing CZ s.r.o., 2017, p. 309-320. ISSN 2533-5626.
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Basic information
Original name Automated Identification of Domain Preferences of Collocations
Authors KALLAS, Jelena (233 Estonia), Vít SUCHOMEL (203 Czech Republic, guarantor, belonging to the institution) and Maria KHOKHLOVA (643 Russian Federation).
Edition Brno, Czech Republic, Electronic Lexicography in the 21st Century. Proceedings of Elex 2017 Conference. p. 309-320, 12 pp. 2017.
Publisher Lexical Computing CZ s.r.o.
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 60200 6.2 Languages and Literature
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Sborník Článek
RIV identification code RIV/00216224:14330/17:00098119
Organization unit Faculty of Informatics
ISSN 2533-5626
Keywords in English collocation; multiword terms; terminological collocation; Russian; Estonian
Tags International impact, Reviewed
Changed by Changed by: RNDr. Vít Suchomel, Ph.D., učo 139723. Changed: 27/11/2018 13:53.
Abstract
This paper addresses (semi-)automatic collocations dictionary compilation in connection with the automated identification of domain preferences of collocations. The research was motivated by the process of the semi-automatic compilation of the Estonian Collocations Dictionary (ECD), where lexicographers processed a large number of terminological collocations extracted from Sketch Engine into the Dictionary Writing System EELex. In this paper, we apply the terminology extraction module within the Corpus Query System Sketch Engine and present the results of the experiments on building military domain corpora in Russian and Estonian and extracting multiword terms. Both languages have very rich morphology and quite a large number of multiword terms, but Russian texts are well represented on the Web while Estonian ones are not. We analyze how the comparison of frequency of a collocation in a reference corpus with its frequency in a domain corpus can be used for facilitating word sketch data analysis in terms of identification of domain preference of collocations.
Links
MUNI/A/0854/2017, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.
Investor: Masaryk University, Category A
MUNI/A/0897/2016, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.
Investor: Masaryk University, Category A
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