A neural dialogue system in Basque
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Published
01-05-2020
Asier López-Zorrilla
Mikel de Velasco Vázquez
Raquel Justo
Abstract
This work presents a neural dialogue system capable of learning Basque. To this end, we build upon generative adversarial networks which implement the idea of the Turing test. We demonstrate that training such a dialogue system with corpora two orders of magnitude smaller than usual English corpora is feasible. Finally, we also found that preprocessing the Basque language according to its morphology helps training these neural models. To the best of our knowledge, this is the rst attempt to develop a neural dialogue system in Basque.
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Keywords
Dialogue systems, deep learning, generative adversarial networks, Basque language
Issue
Section
Ale Arrunta
(C) UPV/EHU Press
CC-BY-NC-SA