TY - CHAP U1 - Konferenzveröffentlichung A1 - Lange, Herbert ED - Alfter, David ED - Volodina, Elena ED - François, Thomas ED - Desmet, Piet ED - Cornillie, Frederik ED - Jönsson, Arne ED - Rennes, Evelina T1 - Metadata formats for learner corpora: case study and discussion T2 - Proceedings of the 11th workshop on natural language processing for computer-assisted language learning (NLP4CALL 2022) N2 - Metadata provides important information relevant both to finding and understanding corpus data. Meaningful linguistic data requires both reasonable annotations and documentation of these annotations. This documentation is part of the metadata of a dataset. While corpus documentation has often been provided in the form of accompanying publications, machinereadable metadata, both containing the bibliographic information and documenting the corpus data, has many advantages. Metadata standards allow for the development of common tools and interfaces. In this paper I want to add a new perspective from an archive’s point of view and look at the metadata provided for four learner corpora and discuss the suitability of established standards for machine-readable metadata. I am are aware that there is ongoing work towards metadata standards for learner corpora. However, I would like to keep the discussion going and add another point of view: increasing findability and reusability of learner corpora in an archiving context. T3 - Linköping Electronic Conference Proceedings - 190 T3 - NEALT Proceedings Series - 47 KW - metadata KW - learner corpora KW - FAIR KW - Metadaten KW - Korpus KW - Computerlinguistik KW - Annotation KW - Dokumentation KW - Datensatz KW - Archivierung KW - metadata standards Y1 - 2022 UN - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-114588 SN - 1650-3740 SS - 1650-3740 SN - 1736-6305 SS - 1736-6305 SN - 978-91-7929-460-1 SB - 978-91-7929-460-1 U6 - https://doi.org/10.3384/ecp190011 DO - https://doi.org/10.3384/ecp190011 SP - 108 EP - 113 PB - LiU Electronic Press CY - Linköping ER -