no code implementations • WS (NoDaLiDa) 2019 • Iben Nyholm Debess, Sandra Saxov Lamhauge, Peter Juel Henrichsen
We present a new method for preparing a lexical-phonetic database as a resource for acoustic model training.
no code implementations • LREC 2022 • Annika Simonsen, Sandra Saxov Lamhauge, Iben Nyholm Debess, Peter Juel Henrichsen
The biggest challenges we face in developing LR and LT for Faroese is the lack of existing resources.
no code implementations • LREC 2022 • Peter Juel Henrichsen, Stine Fuglsang Engmose
This paper presents the AiRO learning tool, which is designed for use in classrooms and homes by children at risk of developing dyslexia.
no code implementations • NoDaLiDa 2021 • Leon Strømberg-Derczynski, Manuel Ciosici, Rebekah Baglini, Morten H. Christiansen, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Årup Nielsen, Jens Madsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
no code implementations • SEMEVAL 2020 • Peter Juel Henrichsen, Marianne Rathje
This paper discusses how ML based classifiers can be enhanced disproportionately by adding small amounts of qualitative linguistic knowledge.
no code implementations • 7 May 2020 • Leon Strømberg-Derczynski, Manuel R. Ciosici, Rebekah Baglini, Morten H. Christiansen, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Årup Nielsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
no code implementations • LREC 2020 • Sabine Kirchmeier, Bolette Pedersen, Sanni Nimb, Philip Diderichsen, Peter Juel Henrichsen
Although Denmark is one of the most digitized countries in Europe, no coordinated efforts have been made in recent years to support the Danish language with regard to language technology and artificial intelligence.
no code implementations • LREC 2012 • Thomas Ulrich Christiansen, Peter Juel Henrichsen
In this paper, we present the newly established Danish speech corpus PiTu.
no code implementations • LREC 2012 • Peter Juel Henrichsen, Marcus Uneson
We present the speech corpus SMALLWorlds (Spoken Multi-lingual Accounts of Logically Limited Worlds), newly established and still growing.