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Pregled bibliografske jedinice broj: 1113985

Preparing the NooJ German module for the analysis of a learner spoken corpus

Landsman Vinković, Mirela; Kocijan, Kristina
Preparing the NooJ German module for the analysis of a learner spoken corpus // Formalising natural languages: applications to natural language processing and digital humanities. NooJ 2020. : revised selected papers / Bekavac, Božo ; Kocijan, Kristina ; Silberztein, Max ; Šojat, Krešimir (ur.).
Zagreb, Hrvatska: Springer, 2021. str. 146-158 doi:10.1007/978-3-030-70629-6_13 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Preparing the NooJ German module for the analysis of a learner spoken corpus

Autori
Landsman Vinković, Mirela ; Kocijan, Kristina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Formalising natural languages: applications to natural language processing and digital humanities. NooJ 2020. : revised selected papers / Bekavac, Božo ; Kocijan, Kristina ; Silberztein, Max ; Šojat, Krešimir - : Springer, 2021, 146-158

ISBN
978-3-030-70628-9

Skup
International Conference on Automatic Processing of Natural-Language Electronic Texts with NooJ (NooJ2020)

Mjesto i datum
Zagreb, Hrvatska, 05.06.2020. - 07.06.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
student learner corpus ; detecting errors ; German language ; dictionary ; morphology ; syntax ; NooJ

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Interdisciplinarne društvene znanosti, Filologija, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)



POVEZANOST RADA

Ustanove:
Filozofski fakultet, Zagreb

Profili:

Avatar Url Kristina Kocijan (autor)

Avatar Url Mirela Landsman Vinković (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Landsman Vinković, Mirela; Kocijan, Kristina
Preparing the NooJ German module for the analysis of a learner spoken corpus // Formalising natural languages: applications to natural language processing and digital humanities. NooJ 2020. : revised selected papers / Bekavac, Božo ; Kocijan, Kristina ; Silberztein, Max ; Šojat, Krešimir (ur.).
Zagreb, Hrvatska: Springer, 2021. str. 146-158 doi:10.1007/978-3-030-70629-6_13 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Landsman Vinković, M. & Kocijan, K. (2021) Preparing the NooJ German module for the analysis of a learner spoken corpus. U: Bekavac, B., Kocijan, K., Silberztein, M. & Šojat, K. (ur.)Formalising natural languages: applications to natural language processing and digital humanities. NooJ 2020. : revised selected papers doi:10.1007/978-3-030-70629-6_13.
@article{article, author = {Landsman Vinkovi\'{c}, Mirela and Kocijan, Kristina}, year = {2021}, pages = {146-158}, DOI = {10.1007/978-3-030-70629-6\_13}, keywords = {student learner corpus, detecting errors, German language, dictionary, morphology, syntax, NooJ}, doi = {10.1007/978-3-030-70629-6\_13}, isbn = {978-3-030-70628-9}, title = {Preparing the NooJ German module for the analysis of a learner spoken corpus}, keyword = {student learner corpus, detecting errors, German language, dictionary, morphology, syntax, NooJ}, publisher = {Springer}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Landsman Vinkovi\'{c}, Mirela and Kocijan, Kristina}, year = {2021}, pages = {146-158}, DOI = {10.1007/978-3-030-70629-6\_13}, keywords = {student learner corpus, detecting errors, German language, dictionary, morphology, syntax, NooJ}, doi = {10.1007/978-3-030-70629-6\_13}, isbn = {978-3-030-70628-9}, title = {Preparing the NooJ German module for the analysis of a learner spoken corpus}, keyword = {student learner corpus, detecting errors, German language, dictionary, morphology, syntax, NooJ}, publisher = {Springer}, publisherplace = {Zagreb, Hrvatska} }

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