dc.contributor.author | Forti, Luciana | |
dc.contributor.author | Vyatkina, Nina | |
dc.contributor.author | Schaeffer-Lacroix, Eva | |
dc.date.accessioned | 2024-02-21T20:12:34Z | |
dc.date.available | 2024-02-21T20:12:34Z | |
dc.date.issued | 2023-08 | |
dc.identifier.citation | Forti, L., Vyatkina, N., & Schaeffer-Lacroix, E. (2023). Data-driven learning beyond English: Insights and implications from three monographs. In B. Bédi, Y. Choubsaz, K. Friðriksdóttir, A. Gimeno-Sanz, S. Björg Vilhjálmsdóttir, & S. Zahova (Eds.), CALL for all Languages: EUROCALL 2023 Short Papers (pp. 128-132). Universitat Politècnica de València. https://doi.org/10.4995/EuroCALL2023.2023.16865 | en_US |
dc.identifier.uri | https://hdl.handle.net/1808/34955 | |
dc.description | This paper stems from the 2023 CorpusCALL SIG Symposium on Data-Driven Learning (DDL) for Languages Other Than English (LOTE). Three monographs on DDL for LOTE were presented and are briefly illustrated in this paper (Forti, 2023; Vyatkina, 2024; Schaeffer-Lacroix, 2019). | en_US |
dc.description.abstract | Despite the growth of DDL in second language (L2) research and education in many languages, its focus has largely been on English. As a result, the knowledge about the applicability of DDL for learning LOTE remains limited. This hinders the validity and generalizability of DDL as a whole, and conceals the important implications related to bridging the research vs. practice gap in such contexts where the focus is on LOTEs. The monographs introduced in this paper demonstrate the relevance of DDL for learning LOTEs by discussing corpus-based resources, pedagogical applications, and empirical research from three perspectives. | en_US |
dc.publisher | Editorial Universitat Politècnica de València | en_US |
dc.rights | Copyright 2023, Editorial Universitat Politècnica de València. This work is licensed under Attribution-NonCommercial-ShareAlike 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.subject | Corpus linguistics | en_US |
dc.subject | Data-driven learning | en_US |
dc.subject | German | en_US |
dc.subject | Italian | en_US |
dc.subject | Languages other than English | en_US |
dc.title | Data-driven learning beyond English: Insights and implications from three monographs | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Vyatkina, Nina | |
kusw.kudepartment | Slavic, German and Eurasian Studies | en_US |
dc.identifier.doi | 10.4995/EuroCALL2023.2023.16865 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-5520-7795 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-2778-8016 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-6260-9095 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.rights.accessrights | openAccess | en_US |