Identifying Metadata-Specific Collocations in Text Corpora

D 2021

Identifying Metadata-Specific Collocations in Text Corpora

HERMAN, Ondřej, Miloš JAKUBÍČEK and Vojtěch KOVÁŘ

Basic information

Original name

Identifying Metadata-Specific Collocations in Text Corpora

Authors

HERMAN, Ondřej (203 Czech Republic, belonging to the institution), Miloš JAKUBÍČEK (203 Czech Republic, belonging to the institution) and Vojtěch KOVÁŘ (203 Czech Republic, belonging to the institution)

Edition

Virtual, Online, Proceedings of Electronic Lexicography in the 21st Century Conference (7th Biennial Conference on Electronic Lexicography, eLex 2021), p. 418-428, 11 pp. 2021

Publisher

Lexical Computing CZ s.r.o.

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

Organization unit

Faculty of Informatics

ISSN

Keywords in English

collocations; corpus; meta-data; text types; word sketch

Změněno: 15/5/2024 14:48, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Statistical corpus analysis of collocations is one of the important steps in creating a dictionary entry: collocations may distinguish senses, describe typical phrasemes and idioms and outline the whole picture of a word's behaviour. However, some collocations are domain-specific, typical only in particular contexts, and thus far there has been no easy way to distinguish “general” collocations from those that are predominantly typical in particular domains. In this paper, we present a tool which allows lexicographers to see typical domains in which a particular collocation occurs. We introduce a statistical procedure based on corpus metadata to identify domain-specific collocations in an intuitive way, and we also present a user interface connected to the word sketch feature of the Sketch Engine corpus interface (Kilgarriff et al., 2014a). The new feature can be used in the manual inspection of collocation lists, as well as when using the API or in a semi-automatic post-editing scenario of building a dictionary.

Links

LM2018101, research and development project

Name: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy (Acronym: LINDAT/CLARIAH-CZ)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

HERMAN, Ondřej, Miloš JAKUBÍČEK and Vojtěch KOVÁŘ. Identifying Metadata-Specific Collocations in Text Corpora. Online. In Proceedings of Electronic Lexicography in the 21st Century Conference (7th Biennial Conference on Electronic Lexicography, eLex 2021). Virtual, Online: Lexical Computing CZ s.r.o., 2021, p. 418-428. ISSN 2533-5626.

@inproceedings{2401739,
   author = {Herman, Ondřej and Jakubíček, Miloš and Kovář, Vojtěch},
   address = {Virtual, Online},
   booktitle = {Proceedings of Electronic Lexicography in the 21st Century Conference (7th Biennial Conference on Electronic Lexicography, eLex 2021)},
   keywords = {collocations; corpus; meta-data; text types; word sketch},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Virtual, Online},
   pages = {418-428},
   publisher = {Lexical Computing CZ s.r.o.},
   title = {Identifying Metadata-Specific Collocations in Text Corpora},
   year = {2021}
}

TY  - JOUR
ID  - 2401739
AU  - Herman, Ondřej - Jakubíček, Miloš - Kovář, Vojtěch
PY  - 2021
TI  - Identifying Metadata-Specific Collocations in Text Corpora
PB  - Lexical Computing CZ s.r.o.
CY  - Virtual, Online
KW  - collocations
KW  - corpus
KW  - meta-data
KW  - text types
KW  - word sketch
N2  - Statistical corpus analysis of collocations is one of the important steps in creating a dictionary entry: collocations may distinguish senses, describe typical phrasemes and idioms and outline the whole picture of a word's behaviour. However, some collocations are domain-specific, typical only in particular contexts, and thus far there has been no easy way to distinguish “general” collocations from those that are predominantly typical in particular domains. In this paper, we present a tool which allows lexicographers to see typical domains in which a particular collocation occurs. We introduce a statistical procedure based on corpus metadata to identify domain-specific collocations in an intuitive way, and we also present a user interface connected to the word sketch feature of the Sketch Engine corpus interface (Kilgarriff et al., 2014a). The new feature can be used in the manual inspection of collocation lists, as well as when using the API or in a semi-automatic post-editing scenario of building a dictionary.
ER  -

HERMAN, Ondřej, Miloš JAKUBÍČEK and Vojtěch KOVÁŘ. Identifying Metadata-Specific Collocations in Text Corpora. Online. In \textit{Proceedings of Electronic Lexicography in the 21st Century Conference (7th Biennial Conference on Electronic Lexicography, eLex 2021)}. Virtual, Online: Lexical Computing CZ s.r.o., 2021, p.~418-428. ISSN~2533-5626.

Detailed Information on Publication Record