Building of parallel and comparable cybersecurity corpora for bilingual terminology extraction
ENThe paper aims at presenting English-Lithuanian corpora for bilingual term extraction (BiTE) in the cybersecurity domain within the framework of the project DVITAS. It is argued that a system of parallel, comparable, and training corpora for BiTE is particularly useful for less-resourced languages, as it allows efficiently to combine strengths and avoid weaknesses of comparable and parallel resources. A special focus is given to the availability of sources in the cybersecurity domain and issues related to copyright-protected publications, as well as the data curation performed for building the corpora and depositing them to CLARIN-LT repository. Keywords: Bilingual Terminology Extraction, Parallel Corpus, Comparable Corpus. [From the publication]
- Automatic extraction of Lithuanian cybersecurity terms using deep learning approaches / Aivaras Rokas, Sigita Rackevičienė, Andrius Utka. Human language technologies - the Baltic perspective : proceedings of the 9th international conference, Baltic HLT, Kaunas, Vytautas Magnus University, Lithuania, 22-23 September 2020 / editors Andrius Utka, Jurgita Vaičenonienė, Jolanta Kovalevskaitė, Danguolė Kalinauskaitė. Amsterdam: IOS Press, 2020. p. 39-46.
- Methodological framework for the development of an English-Lithuanian Cybersecurity Termbase / Sigita Rackevičienė, Liudmila Mockienė, Andrius Utka, Aivaras Rokas. Kalbų studijos 2021, Nr. 39, p. 85-92.
