NaLeKo: ein komplex annotiertes Lernerkorpus mit schriftlichen Erzähltexten des Deutschen als Erst- und Zweitsprache

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Autorschaft

  • Hagen Hirschmann
  • Anja Binanzer
  • Miriam Langlotz

Organisationseinheiten

Externe Organisationen

  • Universität Kassel
  • Humboldt-Universität zu Berlin (HU Berlin)
Forschungs-netzwerk anzeigen

Details

OriginalspracheDeutsch
Seiten (von - bis)230–238
FachzeitschriftKorpora Deutsch als Fremdsprache (KorDaF)
Jahrgang3
Ausgabenummer2
PublikationsstatusVeröffentlicht - 23 Dez. 2023

Abstract

NaLeKo is an online accessible and analyzable learner corpus of written texts of German as a first and second language. The underlying research aim is to analyze the written acquisition and development of narrative competence using a corpus-based approach. The corpus consists of narrative texts written by students in grades two to nine and contains general linguistic annotations, descriptions of learner-based deviations, expressed via target hypotheses and error tags. So far, the corpus has also been annotated for connectives used in the texts. As a result, the first corpus publication NaLeKo V1.0 is a deeply annotated multidimensional corpus with currently 288 narratives.

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NaLeKo: ein komplex annotiertes Lernerkorpus mit schriftlichen Erzähltexten des Deutschen als Erst- und Zweitsprache. / Hirschmann, Hagen; Binanzer, Anja; Langlotz, Miriam.
in: Korpora Deutsch als Fremdsprache (KorDaF), Jahrgang 3, Nr. 2, 23.12.2023, S. 230–238.

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Hirschmann, Hagen ; Binanzer, Anja ; Langlotz, Miriam. / NaLeKo : ein komplex annotiertes Lernerkorpus mit schriftlichen Erzähltexten des Deutschen als Erst- und Zweitsprache. in: Korpora Deutsch als Fremdsprache (KorDaF). 2023 ; Jahrgang 3, Nr. 2. S. 230–238.
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abstract = "NaLeKo is an online accessible and analyzable learner corpus of written texts of German as a first and second language. The underlying research aim is to analyze the written acquisition and development of narrative competence using a corpus-based approach. The corpus consists of narrative texts written by students in grades two to nine and contains general linguistic annotations, descriptions of learner-based deviations, expressed via target hypotheses and error tags. So far, the corpus has also been annotated for connectives used in the texts. As a result, the first corpus publication NaLeKo V1.0 is a deeply annotated multidimensional corpus with currently 288 narratives.",
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