Rchr
J-GLOBAL ID：201801005010263190
Update date: Nov. 05, 2024
Chang Franklin
チャン フランクリン | Chang Franklin
Affiliation and department：
Job title：
教授
Homepage URL (1)：
https://sites.google.com/site/sentenceproductionmodel/cv
Research field (1)：
Cognitive sciences
Research keywords (4)：
Corpus
, Connectionist Modelling
, Syntax Acquisition
, Sentence Production
Research theme for competitive and other funds (3)：
- 2023 - 2027 Automatic process in sentence comprehension and its relationship with error-based learning mechanism
- 2019 - 2024 Linking Vision and Language through Computational Modelling
- 2020 - 2024 Propositional inferences driven by event semantics: Eye movements and EEG
Papers (42)：
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Franklin Chang, Saki Tsumura. EXPRESS: The lexical boost is not an automatic part of sentence production: Evidence from Japanese structural priming. Quarterly Journal of Experimental Psychology. 2024
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Seamus Donnelly, Caroline Rowland, Franklin Chang, Evan Kidd. A Comprehensive Examination of Prediction-Based Error as a Mechanism for Syntactic Development: Evidence From Syntactic Priming. Cognitive Science. 2024
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Franklin Chang. Influence of word-based prediction errors on syntactic priming. Seijo University economic papers. 2024. 97-120
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Franklin Chang, Tomoko Tatsumi, Yuna Hiranuma, Colin Bannard. Visual Heuristics for Verb Production: Testing a Deep-Learning Model With Experiments in Japanese. Cognitive Science. 2023. 47. 8
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Andrew Jessop, Franklin Chang. Thematic role tracking difficulties across multiple visual events influences role use in language production. Visual Cognition. 2022. 30. 3. 151-173
ｍore...
MISC (1)：
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Chang Franklin. Neural models of language production. Technical report of IEICE. Thought and language. 2014. 114. 176. 97-100
Lectures and oral presentations (10)：
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The role of endpoints in verb tense/aspect morphology in Japanese children and adults.
(TL/Mental Architecture for Processing and Learning of Language conference. Tokyo, Japan. 2020)
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Sentence-level ERP effects as error propagation: A neurocomputational model
(BLIT International Symposium on Neurobiology of Language. Tokyo, Japan 2019)
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Modelling Human Understanding of Thematic Roles with Motion Heuristics
(17th International Conference on Machine Learning and Applications (ICMLA) 2018)
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A Computational Model for Thematic Roles Identification
(51st Annual Meeting of the Society for Mathematical Psychology 2018)
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Difficulties tracking role-referent switches can help to explain the subject/object relative clause asymmetry
(Architecture and Mechanisms of Language Processing Conference 2018)
ｍore...
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