SkELL Corpora as a Part of the Language Portal Sonaveeb:
Problems and Perspectives

D 2019

SkELL Corpora as a Part of the Language Portal Sonaveeb: Problems and Perspectives

KOPPEL, Kristina, Jelena KALLAS, Maria KHOKHLOVÁ, Vít SUCHOMEL, Vít BAISA et. al.

Basic information

Original name

SkELL Corpora as a Part of the Language Portal Sonaveeb: Problems and Perspectives

Authors

KOPPEL, Kristina (233 Estonia), Jelena KALLAS (233 Estonia), Maria KHOKHLOVÁ (643 Russian Federation), Vít SUCHOMEL (203 Czech Republic, guarantor, belonging to the institution), Vít BAISA (203 Czech Republic, belonging to the institution) and Jan MICHELFEIT (203 Czech Republic, belonging to the institution)

Edition

Brno, Czech Republic, Proceedings of the 6th Biennial Conference on Electronic Lexicography, p. 763-782, 20 pp. 2019

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

References:

Konferenční sborník

RIV identification code

RIV/00216224:14330/19:00111209

Organization unit

Faculty of Informatics

ISSN

Keywords in English

GDEX; SkELL; learner corpus; Estonian; Russian

Abstract

V originále

The paper provides an analysis of the quality and presentation of authentic corpus sentences from Sketch Engine for Language Learning (SkELL) corpora (Baisa & Suchomel 2014), based on the example of Sonaveeb (Wordweb), a new language portal being developed in the Institute of the Estonian Language. Currently Sonaveeb contains a total of 150,000 Estonian headwords; about 70,000 of them have Russian equivalents. Authentic corpus sentences are displayed for both languages. In some cases (e.g. terms, derived forms, compounds and multi-word expressions), corpus sentences are the only source of usage examples that are available on the portal. We describe the parameters of Good Dictionary Examples (GDEX) (Kilgarriff et al., 2008) configurations for Estonian and for Russian used for the compilation of etSkELL 2018 and ruSkELL 1.6 corpora, give an overview of an evaluation of the GDEX configuration for Estonian, and outline the requirements for the user-friendly presentation of SkELL corpora as a part of the language portal.

Links

LM2015071, research and development project

Name: Jazyková výzkumná infrastruktura v České republice (Acronym: LINDAT-Clarin)

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

Citovat

KOPPEL, Kristina, Jelena KALLAS, Maria KHOKHLOVÁ, Vít SUCHOMEL, Vít BAISA and Jan MICHELFEIT. SkELL Corpora as a Part of the Language Portal Sonaveeb: Problems and Perspectives. Online. In Proceedings of the 6th Biennial Conference on Electronic Lexicography. Brno, Czech Republic: Lexical Computing CZ s.r.o., 2019, p. 763-782. ISSN 2533-5626.

@inproceedings{1577318,
   author = {Koppel, Kristina and Kallas, Jelena and Khokhlová, Maria and Suchomel, Vít and Baisa, Vít and Michelfeit, Jan},
   address = {Brno, Czech Republic},
   booktitle = {Proceedings of the 6th Biennial Conference on Electronic Lexicography},
   keywords = {GDEX; SkELL; learner corpus; Estonian; Russian},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Brno, Czech Republic},
   pages = {763-782},
   publisher = {Lexical Computing CZ s.r.o.},
   title = {SkELL Corpora as a Part of the Language Portal Sonaveeb: Problems and Perspectives},
   url = {https://elex.link/elex2019/wp-content/uploads/2019/10/eLex-2019_Proceedings.pdf},
   year = {2019}
}

TY  - JOUR
ID  - 1577318
AU  - Koppel, Kristina - Kallas, Jelena - Khokhlová, Maria - Suchomel, Vít - Baisa, Vít - Michelfeit, Jan
PY  - 2019
TI  - SkELL Corpora as a Part of the Language Portal Sonaveeb: Problems and Perspectives
PB  - Lexical Computing CZ s.r.o.
CY  - Brno, Czech Republic
KW  - GDEX
KW  - SkELL
KW  - learner corpus
KW  - Estonian
KW  - Russian
UR  - https://elex.link/elex2019/wp-content/uploads/2019/10/eLex-2019_Proceedings.pdf
L2  - https://elex.link/elex2019/wp-content/uploads/2019/10/eLex-2019_Proceedings.pdf
N2  - The paper provides an analysis of the quality and presentation of authentic corpus sentences from Sketch Engine for Language Learning (SkELL) corpora (Baisa & Suchomel 2014), based on the example of Sonaveeb (Wordweb), a new language portal being developed in the Institute of the Estonian Language. Currently Sonaveeb contains a total of 150,000 Estonian headwords; about 70,000 of them have Russian equivalents. Authentic corpus sentences are displayed for both languages. In some cases (e.g. terms, derived forms, compounds and multi-word expressions), corpus sentences are the only source of usage examples that are available on the portal. We describe the parameters of Good Dictionary Examples (GDEX) (Kilgarriff et al., 2008) configurations for Estonian and for Russian used for the compilation of etSkELL 2018 and ruSkELL 1.6 corpora, give an overview of an evaluation of the GDEX configuration for Estonian, and outline the requirements for the user-friendly presentation of SkELL corpora as a part of the language portal.
ER  -

KOPPEL, Kristina, Jelena KALLAS, Maria KHOKHLOVÁ, Vít SUCHOMEL, Vít BAISA and Jan MICHELFEIT. SkELL Corpora as a Part of the Language Portal Sonaveeb: Problems and Perspectives. Online. In \textit{Proceedings of the 6th Biennial Conference on Electronic Lexicography}. Brno, Czech Republic: Lexical Computing CZ s.r.o., 2019, p.~763-782. ISSN~2533-5626.

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