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The paper provides an overview of the motivation, development and major principles of the international project Merlin. The main output of this project is a unique trilingual learner corpus consisting of German, Italian and Czech. The corpus will be available as an online platform illustrating the Common European Framework of Reference for Languages (CEFR) with authentic learner data and enabling users to explore authentic written learner productions and related metadata (e.g. age, first language of the learner, etc.). Each text in the corpus is linguistically analysed during the multiphase error annotation. This process raises some problematic issues concerning the particularly specific character of Czech as a Slavic language. The paper summarises some of these problems and their possible solutions.
EN
The aim of this study is the issue of competitive endings -a and -u of genitive singular inanimate masculine nouns in the context of foreign language teaching. The emphasis is on a systematic description of genitive endings -a and -u using corpus methods. In the first step, we analysed the part of the learner corpus including texts of Slavic language speaking students. The results have shown that students quite often confuse both of these endings: the correct ending -u frequently substituted by -a. Next, we examined the competition of genitive endings within the corpus of contemporary Czech using the Morfio tool that identifies relevant word pairs for further analysis. The identified pairs were divided into three categories: a) nouns with the same etymological origin and meaning, b) nouns with the same etymological origin but different meaning, and c) nouns with inconclusive competition of genitive endings. A systemised list of pairs, along with the proportional and absolute frequency given, is a source of information on the use of appropriate endings, with respect to frequency. The information is crucial for students of Czech as a foreign language in order to choose an appropriate variant with the ending that is closest to the current usage. Based on the analysed material, we proposed three model corpus exercises: two direct exercises for determining a more frequent variant, and one indirect exercise — taking into account semantic differences in the usage of particular endings.
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