Papers by Ilze Auziņa

3 papers
The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners (L18-1)

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Challenge: Using error annotation methods, the corpus of the Latvian language learners can be adapted for other languages with relatively free word order.
Approach: They propose a method for creating error annotated corpora using text correction, automated morphological analysis, automated text alignment and error annotation.
Outcome: The proposed method has been approbated in the development of the corpus of the Latvian language learners.
LaVA – Latvian Language Learner corpus (2022.lrec-1)

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Challenge: a corpus of 1015 essays from foreigners learning Latvian as a foreign language is available at http://www.korpuss.lv/id/LaVA.
Approach: They propose to create a Latvian Language Learner Corpus (LaVA) which contains 1015 essays from Latvian students with different language backgrounds.
Outcome: The LaVA corpus contains 1015 essays from foreigners studying at Latvian higher education institutions and reaching the A1 (possibly A2) Latvian language proficiency level.
Quality Focused Approach to a Learner Corpus Development (2020.lrec-1)

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Challenge: Existing methods for annotating learner corpus with errors are not well defined and can be repetitive.
Approach: The paper proposes a quality focused approach to a learner corpus development . the approach includes comparison of digitized texts, text correction, automated morphological analysis and manual review of annotations.
Outcome: The proposed method is used to create a learner corpus in Latvian . it reduces the amount of mistakes that could be introduced due to inconsistent correction or carelessness.

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