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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
The influence of grammatical profiles of Czech nouns on their acquisition by non-native speakers
 Vokáčová, Martina ; Lehečková, Eva (advisor) ; Nagy, Marek (referee)
The present thesis examines the influence of Czech nouns frequency features on their acquisition by non-native speakers. The first theoretical part summarizes the ongoing discussion regarding the importance of frequency for the entrenchment of grammatical categories in one's mind as outlined by cognitive and psycho-linguists abroad. The second introduces the research methodology, collection method and annotation of 20 lemmas obtained from non-native Czech speaker corpus CzeSL-SGT. Subsequently, an analysis of selected nouns is carried out with regard to their grammatical profiles (comprising two or three most frequent case forms as found in SYN2015). Based on its results, the production of non-native speakers shows a tendency to follow grammatical profiles as demonstrated by high correspondence of frequency features of nouns on the one hand and by low error rate in morphology of most frequent forms on the other. Additionally, cases where lower rate does not correspond to the above mentioned model can be explained using type frequency, i.e. the productivity of particular declension models having simultaneously more far-reaching effect, and higher relevance of nominative as the default form for non-native speakers.
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Possibilities of Error Annotation of Non-Native Speakers' Czech
 Svák, Jiří ; Šebesta, Karel (advisor) ; Pierścieniak, Piotr Paweł (referee)
Bachelor thesis "Possibilities of Error Annotation of Non-Native Speakers' Czech" compares annotation systems of selected learners corpora from the perspective of error annotation. For the comparison, two learner corpora were chosen - Czech CZESL and German FALKO. Both corporas use stand-off multi-level annotation model. The paper is divided into two parts: theoretical and practical. In the theoretical part there is an in-depth description of both of selected corporas and their annotation models. The practical part presents annotation of pupil text processed in annotation models of both corporas. The aim of this paper is to highlight possible strengths and weaknesses of selected annotation formats.
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