Téléchargement | - Voir la version finale : Challenges in neural language identification: NRC at VarDial 2020 (PDF, 341 Kio)
|
---|
Auteur | Rechercher : Bernier-Colborne, Gabriel1; Rechercher : Goutte, Cyril1 |
---|
Affiliation | - Conseil national de recherches du Canada. Technologies numériques
|
---|
Format | Texte, Article |
---|
Conférence | VarDial 2020, December 13th, 2020, Barcelona, Spain (Online) |
---|
Résumé | We describe the systems developed by the National Research Council Canada for the Uralic language identification shared task at the 2020 VarDial evaluation campaign. Although our official results were well below the baseline, we show in this paper that this was not due to the neural approach to language identification in general, but to a flaw in the function we used to sample data for training and evaluation purposes. Preliminary experiments conducted after the evaluation period suggest that our neural approach to language identification can achieve state-of-the-art results on this task, although further experimentation is required. |
---|
Date de publication | 2020-12-13 |
---|
Date de création | 2020-12-09 |
---|
Maison d’édition | International Committee on Computational Linguistics (ICCL) |
---|
Licence | |
---|
Dans | |
---|
Langue | anglais |
---|
Publications évaluées par des pairs | Oui |
---|
Exporter la notice | Exporter en format RIS |
---|
Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
---|
Identificateur de l’enregistrement | c82dee32-2231-490d-b134-50cb2490601d |
---|
Enregistrement créé | 2020-12-09 |
---|
Enregistrement modifié | 2020-12-09 |
---|