Identifying Metadata-Specific Collocations in Text Corpora

D 2021

Identifying Metadata-Specific Collocations in Text Corpora

HERMAN, Ondřej; Miloš JAKUBÍČEK a Vojtěch KOVÁŘ

Základní údaje

Originální název

Identifying Metadata-Specific Collocations in Text Corpora

Autoři

HERMAN, Ondřej (203 Česká republika, domácí); Miloš JAKUBÍČEK (203 Česká republika, domácí) a Vojtěch KOVÁŘ (203 Česká republika, garant, domácí)

Vydání

Brno, Electronic lexicography in the 21st century. Proceedings of the eLex 2021 conference, od s. 418-428, 11 s. 2021

Nakladatel

Lexical Computing CZ s.r.o.

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14330/21:00136003

Organizační jednotka

Fakulta informatiky

ISSN

EID Scopus

2-s2.0-85137073913

Klíčová slova anglicky

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

Štítky

rivok

Změněno: 6. 3. 2025 14:17, RNDr. Vojtěch Kovář, Ph.D.

Anotace

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.

Návaznosti

LM2018101, projekt VaV

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

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, LINDAT/CLARIAH-CZ - Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy

Citovat

HERMAN, Ondřej; Miloš JAKUBÍČEK a Vojtěch KOVÁŘ. Identifying Metadata-Specific Collocations in Text Corpora. Online. In Kosem, Iztok; Cukr, Michal; Jakubíček, Miloš; Kallas, Jelena; Krek, Simon; Tiberius, Carole. Electronic lexicography in the 21st century. Proceedings of the eLex 2021 conference. Brno: Lexical Computing CZ s.r.o., 2021, s. 418-428. ISSN 2533-5626.

@inproceedings{2401739,
   author = {Herman, Ondřej and Jakubíček, Miloš and Kovář, Vojtěch},
   address = {Brno},
   booktitle = {Electronic lexicography in the 21st century. Proceedings of the eLex 2021 conference},
   editor = {Kosem, Iztok; Cukr, Michal; Jakubíček, Miloš; Kallas, Jelena; Krek, Simon; Tiberius, Carole},
   keywords = {collocations; corpus; meta-data; text types; word sketch},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Brno},
   pages = {418-428},
   publisher = {Lexical Computing CZ s.r.o.},
   title = {Identifying Metadata-Specific Collocations in Text Corpora},
   url = {https://elex.link/elex2021/wp-content/uploads/eLex_2021-proceedings.pdf},
   year = {2021}
}

TY  - CONF
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  - Brno
KW  - collocations
KW  - corpus
KW  - meta-data
KW  - text types
KW  - word sketch
UR  - https://elex.link/elex2021/wp-content/uploads/eLex_2021-proceedings.pdf
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 a Vojtěch KOVÁŘ. Identifying Metadata-Specific Collocations in Text Corpora. Online. In Kosem, Iztok; Cukr, Michal; Jakubíček, Miloš; Kallas, Jelena; Krek, Simon; Tiberius, Carole. \textit{Electronic lexicography in the 21st century. Proceedings of the eLex 2021 conference}. Brno: Lexical Computing CZ s.r.o., 2021, s.~418-428. ISSN~2533-5626.

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