Development and research in Lithuanian language technologies (2016-2020)

Utka, Andrius; Vaičenonienė, Jurgita; Briedienė, Monika; Krilavičius, Tomas

doi:10.3233/FAIA200625

Use this url to cite publication: https://hdl.handle.net/20.500.12259/110431

Development and research in Lithuanian language technologies (2016-2020)

Type of publication

Straipsnis konferencijos medžiagoje Web of Science ir Scopus duomenų bazėje / Article in conference proceedings in Web of Science and Scopus database (P1a)

Author(s)

Author	Affiliation
Utka, Andrius	Lituanistikos katedra / Department of Lithuanian Studies	LT
Vaičenonienė, Jurgita	Užsienio kalbų, lit. ir vert. s. katedra / Department of Foreign Language, Literary and Translation Studies	LT
Briedienė, Monika	Informatikos fakultetas / Faculty of Informatics	LT	Baltijos pažangių technologijų institutas	LT
Krilavičius, Tomas	Taikomosios informatikos katedra / Department of Applied Informatics	LT	Baltijos pažangių technologijų institutas	LT

Title

Development and research in Lithuanian language technologies (2016-2020)

[en]

Part Of

Human language technologies - the Baltic perspective : proceedings of the 9th international conference, Baltic HLT, Kaunas, Vytautas Magnus University, Lithuania, 22-23 September 2020

Date Issued

Date
2020

Publisher

Amsterdam : IOS Press

Publisher (trusted)

IOS Press

Is Referenced by

Scopus

Conference Proceedings Citation Index - Science (Web of Science)

Conference Proceedings Citation Index - Social Science & Humanities (Web of Science)

Extent

p. 215-222

URI

URI
https://www.vdu.lt/cris/bitstream/20.500.12259/110431/2/ISBN9781643681177.PG_215-222.pdf
https://doi.org/10.3233/FAIA200625
https://hdl.handle.net/20.500.12259/110431

DOI

10.3233/FAIA200625

Field of Science

Keywords (en)

Abstract (en)

The paper presents an overview of the development and research in Lithuanian language technologies for the period 2016–2020. The most significant national and international LT related initiatives, projects, research infrastructures, language resources and tools are discussed. The paper also surveys research production in the field of language technology for the Lithuanian language. The provided analysis of scientific papers shows that machine translation and speech technologies were the most trending research topics in 2016–2019.