Latviešu valodas apguvēju korpusa (LaVA) izmantošana pētniecībā un mācību uzdevumu izstrādē
Authors:   Latvijas Universitātes Matemātikas un informātikas institūts, Auziņa Ilze , Levāne-Petrova Kristīne ,   Latvijas Universitātes Matemātikas un informātikas institūts, Darģis Roberts ,   Latvijas Universitātes Matemātikas un informātikas institūts, Pokratniece Kristīne ,   Latvijas Universitātes Matemātikas un informātikas institūts, Kaija Inga ,   Latvijas Universitātes Matemātikas un informātikas institūts,   Rīgas Stradiņa universitāte
Published: November 2021

The Latvian Language Learners Corpus (LaVA) developed at the Institute of Mathematics and Computer Science, University of Latvia, includes more than 1000 texts created by foreign Latvian language learners studying at Latvian higher education institutions for the first or second semester reaching A1 (possibly A2) Latvian language proficiency level. The size of the corpus is more than 180 000 words. The morphologically annotated texts have been checked manually; the language learners' errors have been manually annotated. In addition, each text is accompanied by information about the author of the text (metadata): gender, age, native language, knowledge of other languages. When analysing the data, this information can be used to determine how the learner's mother tongue and language skills, in general, affect the acquisition of the Latvian language. Users of the corpus can analyse the data both on the LaVA website (see http://lava.korpuss.lv/search) and in the SketchEngine tool, where the quantitative and qualitative analysis of the data can be performed. The quantitative approach makes it possible to find out the tendencies of the use of a word, word form, or construction and allows to determine the frequency of mistakes made by language learners. In addition, the objectivity of the research is ensured by looking at the data of language learners from different aspects and performing repeated analysis. For example, by statistically analysing the nouns used in learners' texts, it can be concluded that declension 4 nouns are most often used. The next in terms of frequency of use are declension 1, 5 and 2 nouns, while declension 3 and 6 nouns and indeclinable nouns are used very rarely. Qualitative analysis reveals certain features of morphology and word formation, including aspects of syntax, based on empirical data. It is possible to qualitatively analyse the erroneous use of nouns, verbs, or other parts of speech, trying to understand what rules determine this. For example, consider using non-reflexive verbs instead of reflexive verbs, using infinitives instead of finite forms (person forms), using a suffix that does not fit the noun paradigm, etc. According to LaVA data analysis, including learners error analysis, exercises and tests are generated. The exercises are intended to help the language learner to strengthen the linguistic competence of the Latvian language, for example, the use of verb forms in the indicative mood, both in indefinite and perfect tense forms. Exercise creation consists of three stages: (1) analysis of LaVA errors and identification of typical errors, (2) Collecting of sample sentences from various corpora of the Latvian language, for example, LVK2018, Saeima, with word forms and constructions in which language learners most often make mistakes in LaVA texts, (3) generation of different exercises using the selected sample sentences.