Corpus Based Self-Assessment Platform for Latvian Language Learners
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Date
2022
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Abstract
This paper presents a self-assessment platform for Latvian language learners in the breakthrough (A1) and Waystage (A2) levels. The self-assessment platform contains three types of exercises (typing, inflection and gap filling) based on error analysis of the Latvian Language Learner corpus (LaVA). All exercises are automatically generated based on data from multiple corpora. The automatically generated exercises are useful not only for learners outside of classroom or even outside of any formal education setting, but also for educators and authors of learning aids. Currently the self-assessment platform is tailored for language learners at the beginner level, but it can be easily extended for more advanced levels. The self-assessment platform is freely available online (http://uzdevumi.riks.korpuss.lv/en/) and the interface is translated in two language – Latvian and English.
Description
Funding Information: This work is also a part of the National Research Programme Digital Resources of the Humanities project Digital Resources for Humanities: Integration and Development (No. VPP-IZM-DH-2020/1-0001) and has received financial support from the Latvian Language Agency through the grant agreement No. 4.6/2019-029. Publisher Copyright: Copyright © 2022 the American Physiological Society.
Keywords
Acquisition, Computer-Assisted Language Learning (CALL), Latvian, 1.2 Computer and information sciences, 5.3 Educational sciences, 6.2 Languages and Literature, 1.1. Scientific article indexed in Web of Science and/or Scopus database, General Computer Science, SDG 3 - Good Health and Well-being
Citation
Darģis, R, Auziņa, I, Kaija, I, Levāne-Petrova, K & Pokratniece, K 2022, 'Corpus Based Self-Assessment Platform for Latvian Language Learners', Baltic Journal of Modern Computing, vol. 10, no. 3, pp. 392-401. https://doi.org/10.22364/bjmc.2022.10.3.12