Automated Identification of Domain Preferences of Collocations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00098119" target="_blank" >RIV/00216224:14330/17:00098119 - isvavai.cz</a>

Výsledek na webu

<a href="https://elex.link/elex2017/proceedings-download/" target="_blank" >https://elex.link/elex2017/proceedings-download/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automated Identification of Domain Preferences of Collocations

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Automated Identification of Domain Preferences of Collocations

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

60200 - Languages and Literature

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Electronic Lexicography in the 21st Century. Proceedings of Elex 2017 Conference.

ISBN

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ISSN

2533-5626

e-ISSN

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Počet stran výsledku

12

Strana od-do

309-320

Název nakladatele

Lexical Computing CZ s.r.o.

Místo vydání

Brno, Czech Republic

Místo konání akce

Leiden

Datum konání akce

19. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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