Automated Identification of Domain Preferences of Collocations

D 2017

Automated Identification of Domain Preferences of Collocations

KALLAS, Jelena, Vít SUCHOMEL and Maria KHOKHLOVA

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

60200 6.2 Languages and Literature

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

Sborník Článek

RIV identification code

RIV/00216224:14330/17:00098119

Organization unit

Faculty of Informatics

ISSN

Keywords in English

collocation; multiword terms; terminological collocation; Russian; Estonian

Abstract

V originále

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 MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.

Investor: Masaryk University, Category A

MUNI/A/0897/2016, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.

Investor: Masaryk University, Category A

Citovat

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.

@inproceedings{1394199,
   author = {Kallas, Jelena and Suchomel, Vít and Khokhlova, Maria},
   address = {Brno, Czech Republic},
   booktitle = {Electronic Lexicography in the 21st Century. Proceedings of Elex 2017 Conference.},
   editor = {Iztok Kosem et al.},
   keywords = {collocation; multiword terms; terminological collocation; Russian; Estonian},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Brno, Czech Republic},
   pages = {309-320},
   publisher = {Lexical Computing CZ s.r.o.},
   title = {Automated Identification of Domain Preferences of Collocations},
   url = {https://elex.link/elex2017/proceedings-download/},
   year = {2017}
}

TY  - JOUR
ID  - 1394199
AU  - Kallas, Jelena - Suchomel, Vít - Khokhlova, Maria
PY  - 2017
TI  - Automated Identification of Domain Preferences of Collocations
PB  - Lexical Computing CZ s.r.o.
CY  - Brno, Czech Republic
KW  - collocation
KW  - multiword terms
KW  - terminological collocation
KW  - Russian
KW  - Estonian
UR  - https://elex.link/elex2017/proceedings-download/
L2  - https://elex.link/elex2017/proceedings-download/
N2  - 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.
ER  -

KALLAS, Jelena, Vít SUCHOMEL and Maria KHOKHLOVA. Automated Identification of Domain Preferences of Collocations. Online. In Iztok Kosem et al. \textit{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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