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Other literature type . 2025
License: CC BY
Data sources: ZENODO
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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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English-Lithuanian Language Resources for the Cybersecurity Domain

Authors: Rackevičienė, Sigita;

English-Lithuanian Language Resources for the Cybersecurity Domain

Abstract

This presentation was delivered as a part of the colloquium “Data Matters: Data Management and Storage for Humanities with CLARIN-LT” at the 7th International Conference of Applied Linguistics “Languages and People” (25–27 September 2025 at Vilnius University, Lithuania) organised by the Lithuanian Association of Applied Linguistics. The colloquium sought to contribute to the ongoing discourse on data management and storage in the humanities by highlighting the importance of data management planning, presenting a certified data storage repository that provides international access to Lithuanian data, and showcasing bilingual language resources for a specialized domain. This presentation introduces five cybersecurity language resources deposited in the CLARIN-LT repository between 2022 and 2024. All of these resources were developed by the same team of researchers from Mykolas Romeris University and Vytautas Magnus University in Lithuania, beginning with the joint research project DVITAS (Bilingual Automatic Terminology Extraction) and continuing through subsequent initiatives. For more details, see the conference website: https://litaka.lt/en/7-conference/ ; https://sitti.vdu.lt/dvitas/en

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Keywords

cybersecurity terminology survey, cybersecurity termbase, cybersecurity corpora, specialised language resources, language resources

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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CLARIN