Adapting linguistic representations in multilingual communication: the impact of collaborative dialogic settings

Objectives:

In dialogue, speakers tend to converge on the words they use. Dialogue thus constitutes an ideal setting to integrate new words and new uses for known words into long-term memory. However, it is unknown whether imitative behaviours occurring during dialogue may be the source of changing in linguistic representations after dialogue. Using electrophysiological and behavioural measures, the project will address whether and how the interaction between a native speaker and a non-native speaker changes linguistic representations at phonological and lexical levels, leading to improvements in speech perception and production.

Expected Results:

(i) to better understand the impact of collaborative dialogic settings on linguistic representations for foreigners’ behaviour; (ii) to demonstrate neural changes of linguistic representations and the necessity to implement dialogic devices for non-native speakers in multilingual societies.

Supervisor:

Angèle Brunellière

Doctoral Candidate:

Laura Marchesini

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Bridging Communication Gaps in Human and Human-AI Interactions: The Role of Accented Speech on Neurocognitive mechanisms and Social Dynamics