The Danish Gigaword Corpus

Leon Strømberg-Derczynski, Manuel Rafael Ciosici, Morten H. Christiansen, Rebekah Brita Baglini, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Arup Nielsen, Jens Madsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab

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Abstract

Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a focused effort to provide a diverse and freely-available one billion word corpus of Danish text. The Danish Gigaword corpus covers a wide array of time periods, domains, speakers{'} socio-economic status, and Danish dialects.
OriginalsprogEngelsk
TitelProceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
Antal sider9
ForlagLinköping University Electronic Press
Publikationsdato2021
Sider413-421
StatusUdgivet - 2021

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