@inproceedings{krasselt-etal-2020-swiss,
title = "{S}wiss-{AL}: A Multilingual {S}wiss Web Corpus for Applied Linguistics",
author = {Krasselt, Julia and
Dressen, Philipp and
Fluor, Matthias and
Mahlow, Cerstin and
Rothenh{\"a}usler, Klaus and
Runte, Maren},
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.510",
pages = "4145--4151",
abstract = "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.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Swiss-AL: A Multilingual Swiss Web Corpus for Applied Linguistics
%A Krasselt, Julia
%A Dressen, Philipp
%A Fluor, Matthias
%A Mahlow, Cerstin
%A Rothenhäusler, Klaus
%A Runte, Maren
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F krasselt-etal-2020-swiss
%X 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.
%U https://aclanthology.org/2020.lrec-1.510
%P 4145-4151
Markdown (Informal)
[Swiss-AL: A Multilingual Swiss Web Corpus for Applied Linguistics](https://aclanthology.org/2020.lrec-1.510) (Krasselt et al., LREC 2020)
ACL
- Julia Krasselt, Philipp Dressen, Matthias Fluor, Cerstin Mahlow, Klaus Rothenhäusler, and Maren Runte. 2020. Swiss-AL: A Multilingual Swiss Web Corpus for Applied Linguistics. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4145–4151, Marseille, France. European Language Resources Association.