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Analyse syntaxique de langues faiblement dotées à partir de plongements de mots multilingues : Application au same du nord et au komi-zyriène

Abstract : This article presents an attempt to apply efficient parsing methods based on recur- sive neural networks to languages for which very few resources are available. We propose an original approach based on multilingual word embeddings acquired from different languages so as to determine the best language combination for learning. The approach yields competitive results in contexts considered as linguistically difficult.
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https://hal.archives-ouvertes.fr/hal-02268956
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Submitted on : Wednesday, August 21, 2019 - 11:38:55 PM
Last modification on : Friday, October 15, 2021 - 1:40:09 PM
Long-term archiving on: : Friday, January 10, 2020 - 11:14:55 AM

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Kyungtae Lim, Niko Partanen, Thierry Poibeau. Analyse syntaxique de langues faiblement dotées à partir de plongements de mots multilingues : Application au same du nord et au komi-zyriène. Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2018, Traitement automatique des langues peu dotées, 59 (3), pp.67-91. ⟨hal-02268956⟩

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