Sketch Engine for Bilingual Lexicography

KOVÁŘ, Vojtěch, Vít BAISA and Miloš JAKUBÍČEK. Sketch Engine for Bilingual Lexicography. International Journal of Lexicography. Oxford: Oxford University Press, 2016, vol. 29, No 3, p. 339-352. ISSN 0950-3846. Available from: https://dx.doi.org/10.1093/ijl/ecw029.

Basic information

• Original name: Sketch Engine for Bilingual Lexicography
• Authors: KOVÁŘ, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Vít BAISA (203 Czech Republic, belonging to the institution) and Miloš JAKUBÍČEK (203 Czech Republic, belonging to the institution).
• Edition: International Journal of Lexicography, Oxford, Oxford University Press, 2016, 0950-3846.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: United Kingdom of Great Britain and Northern Ireland
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 1.107
• RIV identification code: RIV/00216224:14330/16:00088033
• Organization unit: Faculty of Informatics
• Doi: http://dx.doi.org/10.1093/ijl/ecw029
• UT WoS: 000383976800006
• Keywords in English: bilingual lexicography; Sketch Engine; word sketch; parallel corpus; parallel concordance; bilingual terminology extraction; TMX; TBX
• Tags: International impact, Reviewed

Abstract

Sketch Engine is a leading corpus query and corpus management tool that has been used for many large dictionary projects. The paper summarizes its features supporting bilingual lexicography and the creation of bilingual learner’s dictionaries. Some of these features have been added recently; some of them have been part of the software for a rather long time, but they have been recently improved.

Links

• GA15-13277S, research and development project: Name: Hyperintensionální logika pro analýzu přirozeného jazyka

Investor: Czech Science Foundation

• MUNI/A/0945/2015, interní kód MU: Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.

Investor: Masaryk University, Category A

• 7F14047, research and development project: Name: Harvesting big text data for under-resourced languages (Acronym: HaBiT)

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