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Kun Sun; Rong Wang – Cognitive Science, 2025
The majority of research in computational psycholinguistics on sentence processing has focused on word-by-word incremental processing within sentences, rather than holistic sentence-level representations. This study introduces two novel computational approaches for quantifying sentence-level processing: sentence surprisal and sentence relevance.…
Descriptors: Reading Rate, Reading Comprehension, Sentences, Computation
Cynthia S. Q. Siew; Nichol Castro – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Network analyses of the phonological mental lexicon show that words are clustered into communities and phonologically dissimilar words can be connected to each other through distant paths. Here we investigate whether behavioral traces of the large-scale structure of the phonological lexicon can be obtained. Participants listened to pairs of spoken…
Descriptors: Phonology, Word Recognition, Network Analysis, Language Processing
Hinano Iida; Kimi Akita – Cognitive Science, 2024
Iconicity is a relationship of resemblance between the form and meaning of a sign. Compelling evidence from diverse areas of the cognitive sciences suggests that iconicity plays a pivotal role in the processing, memory, learning, and evolution of both spoken and signed language, indicating that iconicity is a general property of language. However,…
Descriptors: Japanese, Cognitive Science, Language Processing, Memory
Yang Liu – Education and Information Technologies, 2024
The use of smart technologies in bilingual education opens up new opportunities for language learning. This study aims to examine the influence of bilingualism on neural connections and brain activity in the context of education based on smart technologies. To achieve this goal, an experiment used functional magnetic resonance imaging (fMRI). An…
Descriptors: Foreign Countries, Multilingualism, Foreign Students, College Students
Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices

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