ArticleScientific reports2021
Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks.
Article in Scientific reports, 2021. 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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Who cites it
10 citing papers in PubMed.
- Contextual assembly of lexical functions in large language models.Behavior research methods · 2025Article
- A cognitive multiplex network approach to investigate mental navigation and predict high-level cognition.Behavior research methods · 2025Article
- Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges.Psychonomic bulletin & review · 2024Review
- AI-guided few-shot inverse design of HDP-mimicking polymers against drug-resistant bacteria.Nature communications · 2024Article
- Feature-rich multiplex lexical networks reveal mental strategies of early language learning.Scientific reports · 2023Article
- The Resilience of the Phonological Network May Have Implications for Developmental and Acquired Disorders.Brain sciences · 2023Article
- Knowledge Representations Derived From Semantic Fluency Data.Frontiers in psychology · 2022Review
- Article
- Using Complex Networks in the Hearing Sciences.Ear and hearingReview
- Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data- and Cognitive Scientists.Wiley interdisciplinary reviews. Cognitive scienceReview
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Authors and funding
7 authors.
Funding
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Abstract
An essential aspect of human communication is the ability to access and retrieve information from ones' 'mental lexicon'. This lexical access activates phonological and semantic components of concepts, yet the question whether and how these two components relate to each other remains widely debated. We harness tools from network science to construct a large-scale linguistic multilayer network comprising of phonological and semantic layers. We find that the links in the two layers are highly similar to each other and that adding information from one layer to the other increases efficiency by decreasing the network overall distances, but specifically affecting shorter distances. Finally, we show how a multilayer architecture demonstrates the highest efficiency, and how this efficiency relates to weak semantic relations between cue words in the network. Thus, investigating the interaction between the layers and the unique benefit of a linguistic multilayer architecture allows us to quantify theoretical cognitive models of lexical access.
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