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Poster communications

Modeling Conventionalization and Predictability in Multi-Word Expressions at Brain-level

Abstract : Linguistic expressions have been binarized as compositional and non-compositional given the lack of composionallinguistic analysis, Multi-word Expressions (MWEs) demonstrate finer-grained degrees of conventionalization and predictability in psycholinguisitcs, which canbe quantified through computational Association Measures, like Point-wise Mutual Information and Dice's Coefficient. In this study, fMRI recordings of naturalistic narrative comprehension is used to investigate to what extent these computational measures and the underlying cognitive processes they could reflect are observable during on-line naturalistic sentence processing.
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https://hal.inria.fr/hal-02272435
Contributor : Murielle Fabre <>
Submitted on : Tuesday, August 27, 2019 - 5:02:31 PM
Last modification on : Saturday, June 12, 2021 - 3:38:49 AM

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  • HAL Id : hal-02272435, version 1

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Murielle Fabre, Shohini Bhattasali, Christophe Pallier, John Hale. Modeling Conventionalization and Predictability in Multi-Word Expressions at Brain-level. CRCNS 2019, Sep 2019, Austin (Texas), United States. ⟨hal-02272435⟩

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