Browsing by Author "Kaija, Inga"

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    Corpus Based Self-Assessment Platform for Latvian Language Learners
    (2022) Darģis, Roberts; Auziņa, Ilze; Kaija, Inga; Levāne-Petrova, Kristīne; Pokratniece, Kristīne; Rīga Stradiņš University
    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.
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    Latviešu valoda zobārstniecības studentiem. Mācību līdzeklis ārvalstu studentiem [latviešu un angļu val.]
    (Rīgas Stradiņa universitāte, 2021) Kaija, Inga; Laizāne, Inga
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    LaVA - Latvian Language Learner corpus
    (European Language Resources Association (ELRA), 2022) Darģis, Roberts; Auziņa, Ilze; Kaija, Inga; Levāne-Petrova, Kristīne; Pokratniece, Kristīne; Calzolari, Nicoletta; Bechet, Frederic; Blache, Philippe; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph; Mazo, Helene; Odijk, Jan; Piperidis, Stelios; Rīga Stradiņš University
    This paper presents the Latvian Language Learner Corpus (LaVA) developed at the Institute of Mathematics and Computer Science, University of Latvia. LaVA corpus contains 1015 essays (190k tokens and 790k characters excluding whitespaces) from foreigners studying at Latvian higher education institutions and who are learning Latvian as a foreign language in the first or second semester, reaching the A1 (possibly A2) Latvian language proficiency level. The corpus has morphological and error annotations. Error analysis and the statistics of the LaVA corpus are also provided in the paper. The corpus is publicly available at: http://www.korpuss.lv/id/LaVA.
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    Mērķhipotēžu izvirzīšana latviešu valodas apguvēju korpusā
    (LU Akadēmiskais apgāds, 2020) Auziņa, Ilze; Levāne-Petrova, Kristīne; Kaija, Inga; Kalnača, Andra; Lokmane, Ilze; Rīga Stradiņš University
    Apguvēju korpuss ir sistemātiski datorizētu valodas apguvēju (gan svešvalodas, gan otrās valodas) veidotu tekstu datubāze. Tas ir ārvalstnieku valodas apguvēju īpatnību izpētes un datos balstītu latviešu valodas mācību materiālu un metodisko līdzekļu izstrādes pamats. Apguvēju korpusu, tāpat kā citus valodas korpusus, var marķēt dažādos valodas līmeņos (morfoloģiski, sintaktiski), bet īpaši nozīmīgs apguvēju valodas izpētē ir kļūdu marķējums un tajā balstītā kļūdu analīze. Kļūdu analīzi ietekmē divi faktori: 1) izraudzītie kļūdu tipi jeb kļūdu tipoloģija un 2) izvirzītās mērķhipotēzes, t. i., labotais teksts. Tādēļ pirms kļūdu marķēšanas ir būtiski vienoties, kas tiks marķēts un kā tas tiks darīts. Raksta ievadā ir īsi raksturots veidojamais „Latviešu valodas apguvēju korpuss” (LaVA), aplūkots mērķhipotēzes jēdziens un mērķhipotēzes nozīme valodas apguvēju korpusa izveides procesā. Rakstā ir izklāstīti galvenie mērķhipotēzes izvirzīšanas principi korpusā LaVA, kā arī minēti konkrēti piemēri, kā valodas apguvēju izteikumi tiek laboti atbilstoši latviešu valodas normām un kādas ir būtiskākās atkāpes, kas tiek pieļautas A learner corpus is a computerized textual database of the language produced by foreign language learners. Such corpus enables researchers to create more efficient learning materials and teaching methodology for language learners by using the corpus-driven error analysis. The learner's corpus, like other language corpora, can be annotated at different language levels (morphologically, syntactically); however, corpus-based error annotation and the corpus-based error analysis are especially important in the learner's language research. Error analysis is influenced by certain factors: 1) the error types setup or error typology; and 2) target hypothesis setup, e. g., corrected text. Therefore, it is crucial to have special guidelines indicating the subject of annotation and the methods how the annotation is performed. The article begins with description of “The Latvian Learner corpus” (LaVA) and its initial development strategies, the term of target hypothesis and its role in the creation of the learner corpus. The main target hypothesis setup criteria in the LaVa corpus is also provided with the examples showing how the language learners' utterances are being corrected according to the language norms, and the main deviations from the rules allowed.