Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Swiss-AL : a multilingual Swiss web corpus for applied linguistics
Autor/-in: Krasselt, Julia
Dreesen, Philipp
Fluor, Matthias
Mahlow, Cerstin
Rothenhäusler, Klaus
Runte, Maren
et. al: No
Tagungsband: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)
Seite(n): 4145
Seiten bis: 4151
Angaben zur Konferenz: 12th Language Resources and Evaluation Conference (LREC) 2020
Erscheinungsdatum: Mai-2020
Verlag / Hrsg. Institution: European Language Resources Association
Sprache: Englisch
Schlagwörter: Web corpus; Applied linguistics; Annotation; Discourse analysis
Fachgebiet (DDC): 400: Sprache und Linguistik
Zusammenfassung: The Swiss Web Corpus for Applied Linguistics (Swiss-AL) is a multilingual (German, French, Italian) collection of texts from selected web sources. Unlike most other web corpora it is not intended for NLP purposes, but rather designed to support data-based and data-driven research on societal and political discourses in Switzerland. It currently contains 8 million texts (approx. 1.55 billion tokens), including news and specialist publications, governmental opinions, and parliamentary records, web sites of political parties, companies, and universities, statements from industry associations and NGOs, etc. A flexible processing pipeline using state-of-the-art components allows researchers in applied linguistics to create tailor-made subcorpora for studying discourse in a wide range of domains. So far, Swiss-AL has been used successfully in research on Swiss public discourses on energy and on antibiotic resistance.
URI: https://www.aclweb.org/anthology/2020.lrec-1.510
https://digitalcollection.zhaw.ch/handle/11475/20139
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY-NC 4.0: Namensnennung - Nicht kommerziell 4.0 International
Departement: Angewandte Linguistik
Organisationseinheit: Institute of Language Competence (ILC)
Enthalten in den Sammlungen:Publikationen Angewandte Linguistik

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Krasselt, J., Dreesen, P., Fluor, M., Mahlow, C., Rothenhäusler, K., & Runte, M. (2020). Swiss-AL : a multilingual Swiss web corpus for applied linguistics [Conference paper]. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 4145–4151. https://www.aclweb.org/anthology/2020.lrec-1.510
Krasselt, J. et al. (2020) ‘Swiss-AL : a multilingual Swiss web corpus for applied linguistics’, in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, pp. 4145–4151. Available at: https://www.aclweb.org/anthology/2020.lrec-1.510.
J. Krasselt, P. Dreesen, M. Fluor, C. Mahlow, K. Rothenhäusler, and M. Runte, “Swiss-AL : a multilingual Swiss web corpus for applied linguistics,” in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, pp. 4145–4151. [Online]. Available: https://www.aclweb.org/anthology/2020.lrec-1.510
KRASSELT, Julia, Philipp DREESEN, Matthias FLUOR, Cerstin MAHLOW, Klaus ROTHENHÄUSLER und Maren RUNTE, 2020. Swiss-AL : a multilingual Swiss web corpus for applied linguistics. In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) [online]. Conference paper. European Language Resources Association. Mai 2020. S. 4145–4151. Verfügbar unter: https://www.aclweb.org/anthology/2020.lrec-1.510
Krasselt, Julia, Philipp Dreesen, Matthias Fluor, Cerstin Mahlow, Klaus Rothenhäusler, and Maren Runte. 2020. “Swiss-AL : A Multilingual Swiss Web Corpus for Applied Linguistics.” Conference paper. In Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 4145–51. European Language Resources Association. https://www.aclweb.org/anthology/2020.lrec-1.510.
Krasselt, Julia, et al. “Swiss-AL : A Multilingual Swiss Web Corpus for Applied Linguistics.” Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association, 2020, pp. 4145–51, https://www.aclweb.org/anthology/2020.lrec-1.510.


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