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Preparing the NooJ German Module for the Analysis of a Learner Spoken Corpus

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Part of the Communications in Computer and Information Science book series (CCIS,volume 1389)

Abstract

This project merges the knowledge of a foreign language teaching specialist and a language processing specialist to detect and classify different types of errors found in the spoken classroom discourse of Croatian learners of German as a foreign language. The role of NooJ in this project is to detect and annotate different types of errors in order to facilitate the analysis of such data. The preliminary corpus consists of 5 different classroom interactions of Croatian master’s level students of teaching German as a foreign language that were recorded during their regular classes. The recordings have been faithfully transcribed, keeping the mistakes originally introduced by the student-speakers.

In order to evaluate the student-speakers’ linguistic, lexicosemantic, and pragmatic competences, the rated criteria fall into the areas of general linguistics, vocabulary, vocabulary control, grammatical accuracy, coherence, and pragmatic appropriateness. This classification conforms to the recommendations by the Common European Framework of Reference for Languages. The project uses the existing NooJ resources for German that had been enhanced with new dictionary entries, an additional morphological grammar constructed to recognize misspellings, and syntactic grammars introduced to find and annotate errors at the higher levels of syntactic analysis.

Keywords

  • Student learner corpus
  • Detecting errors
  • German language
  • Dictionary
  • Morphology
  • Syntax
  • NooJ

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Notes

  1. 1.

    Richards and Schmidt (2010) equate the term classroom language with the term classroom discourse.

  2. 2.

    https://sprachfoerderprojekt.phil-fak.uni-koeln.de/veranstaltungen/tagung-sprache-im-unterricht-der-zukunftsstrategie-lehrerinnenbildung-zus.

  3. 3.

    The analyzed spoken corpus ClassLang-Ge-S is part of the thesis of this article’s first author written for her PhD degree within the Doctoral Programme in Foreign Language Education at the Faculty of Humanities and Social Sciences, University of Zagreb, Croatia.

  4. 4.

    Apart from the audio recorded spoken discourse of Croatian master’s students and young teachers of German as a foreign language, the research instruments included a general language proficiency test (according to CERF), a written test on classroom language, and a semi-structured interview. The results of the thesis research should prove the efficiency of the systematic teaching of classroom language.

  5. 5.

    This particular spoken corpus will further be referred to as ClassLang-Ge-S and will denote a corpus of Classroom Language (ClassLang) for German as a foreign language (Ge) where the S stands for the speech section of the corpus as distinguished from its textual version, marked with a final T.

  6. 6.

    The term is used to describe what is going on in the classroom, e.g. the teacher is writing on the board; everybody is laughing, etc.

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Correspondence to Mirela Landsman Vinković .

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Landsman Vinković, M., Kocijan, K. (2021). Preparing the NooJ German Module for the Analysis of a Learner Spoken Corpus. In: Bekavac, B., Kocijan, K., Silberztein, M., Šojat, K. (eds) Formalising Natural Languages: Applications to Natural Language Processing and Digital Humanities. NooJ 2020. Communications in Computer and Information Science, vol 1389. Springer, Cham. https://doi.org/10.1007/978-3-030-70629-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-70629-6_13

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