AI RESEARCH
SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding
arXiv CS.CL
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ArXi:2603.21940v1 Announce Type: new Spoken Language Understanding (SLU) aims to extract the semantic information from the speech utterance of user queries. It is a core component in a task-oriented dialogue system. With the spectacular progress of deep neural network models and the evolution of pre-trained language models, SLU has obtained significant breakthroughs. However, only a few high-resource languages have taken advantage of this progress due to the absence of SLU resources. In this paper, we seek to mitigate this obstacle by