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Type of publication: research article
Type of publication (PDB): Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Filologija / Philology (H004)
Author(s): Kovalevskaitė, Jolanta;Boizou, Loic;Bielinskienė, Agnė;Jancaitė, Laima;Rimkutė, Erika
Title: The first corpus-driven lexical database of Lithuanian as L2
Is 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 / editors Andrius Utka, Jurgita Vaičenonienė, Jolanta Kovalevskaitė, Danguolė Kalinauskaitė. Amsterdam : IOS Press, 2020
Extent: p. 245-252
Date: 2020
Series/Report no.: (Frontiers in artificial intelligence and applications, Vol. 328 0922-6389)
Keywords: Lithuanian Pedagogic Corpus;Learner lexicography;Lithuanian language;Foreign language learning resources;Lithuanian Sketch Grammar;Corpus pattern
ISBN: 9781643681160
Abstract: The article presents a new resource for A2-B2 learners of Lithuanian as L2 to improve their lexical competence and language production skills. The lexical database is a lexicographic application of the Lithuanian Pedagogic Corpus which was used both to develop headword lists and to collect word usage information. For this study, we adopt the inductive procedure of Corpus Pattern Analysis which was partly automated using the Lithuanian Sketch Grammar in Sketch Engine. We explain the model for pattern recognition and description, sense division, the selection of examples and give some details concerning the user interface
Affiliation(s): Humanitarinių mokslų fakultetas
Kompiuterinės lingvistikos centras
Vytauto Didžiojo universitetas
Appears in Collections:3. Konferencijų medžiaga / Conference materials
Universiteto mokslo publikacijos / University Research Publications

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