Automated Identification of Domain Preferences of Collocations
The result's identifiers
Result code in 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>
Result on the web
<a href="https://elex.link/elex2017/proceedings-download/" target="_blank" >https://elex.link/elex2017/proceedings-download/</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Automated Identification of Domain Preferences of Collocations
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
60200 - Languages and Literature
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Electronic Lexicography in the 21st Century. Proceedings of Elex 2017 Conference.
ISBN
—
ISSN
2533-5626
e-ISSN
—
Number of pages
12
Pages from-to
309-320
Publisher name
Lexical Computing CZ s.r.o.
Place of publication
Brno, Czech Republic
Event location
Leiden
Event date
Sep 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—