Malte Lau Petersen
2021
The Danish Gigaword Corpus
Leon Strømberg-Derczynski
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Manuel Ciosici
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Rebekah Baglini
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Morten H. Christiansen
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Jacob Aarup Dalsgaard
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Riccardo Fusaroli
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Peter Juel Henrichsen
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Rasmus Hvingelby
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Andreas Kirkedal
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Alex Speed Kjeldsen
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Claus Ladefoged
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Finn Årup Nielsen
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Jens Madsen
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Malte Lau Petersen
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Jonathan Hvithamar Rystrøm
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Daniel Varab
Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
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.
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