Tagging collocations for learners

  1. Alonso-Ramos, Margarita
  2. Wanner, Leo
  3. Vázquez, Nancy
  4. Vincze, Orsolya
  5. Mosqueira Suárez, Estela
  6. Prieto González, Sabela
Libro:
E-lexicography in the 21st century: New challenges, new applications : proceedings of eLex 2009, Louvain-la Neuve, 22-24 october 2009
  1. Granger, Sylviane (ed. lit.)
  2. Paquot, Magali (ed. lit.)

Editorial: Louvain : Presses Universitaires de Louvain, 2010

ISBN: 978-2-87463-211-2

Año de publicación: 2010

Páginas: 375-380

Congreso: eLEX : Electronic lexicography in the 21st century (1. 2009. Louvain-la-Neuve)

Tipo: Aportación congreso

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Resumen

Collocations play a significant role in second language acquisition. In order to be able to offer efficient support to learners, an NLP-based CALL environment for learning collocations should be based on a representative collocation error annotated learner corpus. We are currently working on such a corpus for Spanish, starting from a fine-grained typology of collocation errors and drawing upon an existing learner corpus, namely CEDEL2 from the Autonomous University of Madrid. In this paper, we present this typology and discuss the first findings obtained from our annotation work.

Fuente de los datos: Dialnet