Lithuanian-English cybersecurity termbase: principles of data collection and structuring

ENThe aim of the paper is to present compilation and structuring principles, scope and development possibilities of the bilingual Lithuanian-English cybersecurity termbase. The paper discusses different approaches to terminology management, the best practices of which have been used to collect cybersecurity terminology and compile the termbase. Data collection has been mainly based on semasiological and corpus-driven approaches involving creation of deep learning systems trained to extract terminology from the cybersecurity corpora. To achieve systematicity and comprehensiveness of the dataset, the onomasiological and corpus-based approaches have also been incorporated in the data collection process. The termbase design decisions (its macrostructure and microstructure) have been based on onomasiological principles, while term variation has been handled by applying the descriptive approach. The termbase has been developed in the open-source cloud-based terminological management platform Terminologue. To ensure interoperability, the termbase has been exported into the TBX format and deposited into the CLARIN-LT repository. The paper also discusses possibilities of publishing terminological data as linguistic linked open data and linking it with other terminological resources and cybersecurity ontologies. The termbase is expected to be useful for cybersecurity specialists, translators, terminographers, lexicographers and the general public, as well as to contribute to the development of the Lithuanian cybersecurity terminology. Keywords: cybersecurity; termbase; terminology management; termbase structure; LLOD. [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.
• Automatinis terminų atpažinimas ir apdorojimas : disertacija / Irma Zeller. Kaunas, 2005. 156 p.
• Building of parallel and comparable cybersecurity corpora for bilingual terminology extraction / Andrius Utka, Sigita Rackevičienė, Aivaras Rokas, Liudmila Mockienė, Marius Laurinaitis, Agnė Bielinskienė. Selected papers from the CLARIN Annual Conference 2021, Virtual Event, 2021, 27-29 September / edited by Monica Monachini and Maria Eskevich. Linköping : Linköping University Electronic Press, 2022. P. 126-138.
• Deskriptyviosios terminologijos tyrimų rezultatų panaudojimas terminologijos praktikoje / Jolanta Kovalevskaitė, Agnė Bielinskienė. Terminologija. 2015, 22, p. 149-168.
• Lietuvių kalbos terminų automatinis atpažinimas ir apibrėžimas Agnė Bielinskienė, Loïc Boizou, Gintarė Grigonytė, Jolanta Kovalevskaitė, Erika Rimkutė, Andrius Utka. Kaunas : Vytauto Didžiojo universitetas, 2015. 199 p.
• Lietuvių terminologija: teorijos ir tvarkybos metmenys / Kazimieras Gaivenis. Vilnius : Lietuvių kalbos instituto leidykla, 2002. 145 p.
• 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.
• Preferences of Lithuanian cybersecurity synonymous terms in different user groups / Sigita Rackevičienė, Andrius Utka. Kalbų studijos 2024, Nr. 44, p. 107-122.
• Terminografija ir tekstynas / Rūta Marcinkevičienė. Terminologija. 2000, 6, p. 5-22.