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        <title>Modeling Brain Activity Associated with Pronoun Resolution in English and Chinese</title>
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        <namePart type="given">Jixing</namePart>
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            <title>Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference</title>
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            <namePart type="given">Massimo</namePart>
            <namePart type="family">Poesio</namePart>
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        <name type="personal">
            <namePart type="given">Vincent</namePart>
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            <namePart type="given">Maciej</namePart>
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    <abstract>Typological differences between English and Chinese suggest stronger reliance on salience of the antecedent during pronoun resolution in Chinese. We examined this hypothesis by correlating a difficulty measure of pronoun resolution derived by the activation-based ACT-R model with the brain activity of English and Chinese participants listening to a same audiobook during fMRI recording. The ACT-R model predicts higher overall difficulty for English speakers, which is supported at the brain level in left Broca’s area. More generally, it confirms that computational modeling approach is able to dissociate different dimensions that are involved in the complex process of pronoun resolution in the brain.</abstract>
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%0 Conference Proceedings
%T Modeling Brain Activity Associated with Pronoun Resolution in English and Chinese
%A Li, Jixing
%A Fabre, Murielle
%A Luh, Wen-Ming
%A Hale, John
%Y Poesio, Massimo
%Y Ng, Vincent
%Y Ogrodniczuk, Maciej
%S Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F li-etal-2018-modeling
%X Typological differences between English and Chinese suggest stronger reliance on salience of the antecedent during pronoun resolution in Chinese. We examined this hypothesis by correlating a difficulty measure of pronoun resolution derived by the activation-based ACT-R model with the brain activity of English and Chinese participants listening to a same audiobook during fMRI recording. The ACT-R model predicts higher overall difficulty for English speakers, which is supported at the brain level in left Broca’s area. More generally, it confirms that computational modeling approach is able to dissociate different dimensions that are involved in the complex process of pronoun resolution in the brain.
%R 10.18653/v1/W18-0710
%U https://aclanthology.org/W18-0710
%U https://doi.org/10.18653/v1/W18-0710
%P 87-96

Markdown (Informal)

[Modeling Brain Activity Associated with Pronoun Resolution in English and Chinese](https://aclanthology.org/W18-0710) (Li et al., CRAC 2018)

• Modeling Brain Activity Associated with Pronoun Resolution in English and Chinese (Li et al., CRAC 2018)

ACL

• Jixing Li, Murielle Fabre, Wen-Ming Luh, and John Hale. 2018. Modeling Brain Activity Associated with Pronoun Resolution in English and Chinese. In Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, pages 87–96, New Orleans, Louisiana. Association for Computational Linguistics.