Compiling and analyzing a tagged learner corpusa corpus-based study of adjective uses

  1. Castillo Rodríguez, Cristina 1
  2. Díaz Lage, José María 2
  3. Rubio Martínez, Beatriz 3
  1. 1 Universidad de Málaga
    info

    Universidad de Málaga

    Málaga, España

    ROR https://ror.org/036b2ww28

  2. 2 Universidad Internacional de La Rioja
    info

    Universidad Internacional de La Rioja

    Logroño, España

    ROR https://ror.org/029gnnp81

  3. 3 University College Dublin
    info

    University College Dublin

    Dublín, Irlanda

    ROR https://ror.org/05m7pjf47

Erakutsi afiliazioak +
Aldizkaria:
Círculo de lingüística aplicada a la comunicación

ISSN: 1576-4737

Argitalpen urtea: 2020

Zenbakien izenburua: Monográfico: TAME, gramaticalización e interfaz sintaxis-pragmática del español y el mapudungún

Zenbakia: 81

Orrialdeak: 115-136

Mota: Artikulua

DOI: 10.5209/CLAC.67932 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: Círculo de lingüística aplicada a la comunicación

Laburpena

A learner corpus (LC) is widely known as a rich source of information regarding the use of expressions and the errors made by students in their productions. In fact, we, as teachers, can profit from the compilation of their tasks so as to analyze in detail their way of writing. However, the mere compilation of texts does not guarantee a successful exploitation, as more steps than saving texts must be involved in the whole process. Therefore, it seems essential to follow a protocolized methodology of compilation. In this paper we propose five phases for compiling a LC containing texts from the spontaneous written productions from undergraduate and postgraduate students. The outcomes thrown with the LC exploitation will reveal the errors in students’ productions regarding the use of plural, comparative and superlative in adjectives and also other fails detected in the tagging phase, most of which are due to students’ misuses.

€ Ikusi finantzaketa

Finantzaketari buruzko informazioa

This work has been carried out in the frame of the research project B0036-1617-104-ETEL (Universidad Internacional de la Rioja, 2016-2018).

Finantzatzaile

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