Metadata design for the first electronic learner corpus of Romanian

Authors

  • Carmen Mîrzea Vasile University of Bucharest Author
  • Elena Irimia Research Institute for Artificial Intelligence “Mihai Drăgănescu”, Romanian Academy Author

DOI:

https://doi.org/10.62229/rst/7.1/3

Keywords:

corpus metadata, individual differences, variables in language learning, Romanian as L2/FL, learner corpus of Romanian

Abstract

This paper introduces an ongoing work of collecting, annotating and documenting the first digital Romanian Learner Corpus (LECOR), focusing on its metadata. We shortly describe the institutional context of the project, the current state of the art in the field, the objectives in terms of structure, dimensions and annotations and what work has already been done at this stage of the project. Then we present the modular structure of the metadata scheme and a detailed  account of all the metadata fields and their possible values, from general metadata concerning the whole corpus (Section 3.1), to metadata organised around the student/learner (Section 3.2) and text/composition (Section 3.3). We
will also give some examples of how metadata has been dealt with in various researches (including based on LECOR corpus). 

Author Biographies

  • Carmen Mîrzea Vasile, University of Bucharest

    University of Bucharest

    “Iorgu Iordan – Alexandru Rosetti” Institute of Linguistics,
    Romanian Academy

  • Elena Irimia, Research Institute for Artificial Intelligence “Mihai Drăgănescu”, Romanian Academy

    Research Institute for Artificial Intelligence “Mihai Drăgănescu”, Romanian Academy
    University of Bucharest

RATVII-3

Published

2024-02-26