ArticleTopics in cognitive science2022
What Can Network Science Tell Us About Phonology and Language Processing?
Article in Topics in cognitive science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- CPCSLD: A lexical database of Chinese preschool children's spoken words.Behavior research methods · 2026Article
- Phonological networks remain intact in multiple sclerosis.Neuropsychology · 2026Article
- Leveraging relatedness-based measures in people with language disorders: A scoping review.Journal of neuropsychology · 2025Article
- Using network science to examine audio-visual speech perception with a multi-layer graph.PloS one · 2024Article
- Multiple sclerosis is associated with differences in semantic memory structure.Neuropsychology · 2024Article
- The Resilience of the Phonological Network May Have Implications for Developmental and Acquired Disorders.Brain sciences · 2023Article
- Identifying the phonological backbone in the mental lexicon.PloS one · 2023Article
- Drivers of Lexical Processing and Implications for Early Learning.Annual review of developmental psychology · 2022Article
- The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual.Brain sciences · 2022Article
- Using Complex Networks in the Hearing Sciences.Ear and hearingReview
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Abstract
Contemporary psycholinguistic models place significant emphasis on the cognitive processes involved in the acquisition, recognition, and production of language but neglect many issues related to the representation of language-related information in the mental lexicon. In contrast, a central tenet of network science is that the structure of a network influences the processes that operate in that system, making process and representation inextricably connected. Here, we consider how the structure found across phonological networks of several languages from different language families may influence language processing as we age and experience diseases that affect cognition during the typical and atypical acquisition of new words, during typical perception and production of speech in adults, and during language change over time. We conclude that the network science approach may not only provide insights into specific language processes but also provide a way to connect the work from these domains, which are becoming increasingly balkanized.
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