The project has the goal of creating multimodal conversational corpora in Chinese and French, with neurophysiological data from speakers engaged in natural conversational tasks, and of developing large language models (LLMs) specialized for conversational prediction in both languages. This crosslingual approach is proposed for improving the generalizability of conversational NLP models and for deepening our understanding of how conversational structure is jointly represented in language and neural signals.
The ANR/RGC Joint Research Scheme aims to strengthen the collaboration between French and Hong Kong research communities. Both basic and applied research proposals of high academic merits in all areas are invited under the Scheme.
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