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Multiplex model of mental lexicon reveals explosive learning in humans
Our findings provide quantitative confirmation of existing conjectures about core structure in the mental lexicon and the importance of integrating multi-relational word-word interactions in psycholinguistic frameworks.
Multiplex lexical networks reveal patterns in early word acquisition in children
Network models of language have provided a way of linking cognitive processes to the structure and connectivity of language.
Mental Lexicon Growth Modelling Reveals the Multiplexity of the English Language
In this work we extend previous analyses of linguistic networks by adopting a multi-layer network framework for modelling the human mental lexicon, i. e. an abstract mental repository where words and concepts are stored together with their linguistic patterns.
Patterns in the English Language: Phonological Networks, Percolation and Assembly Models
In this paper we provide a quantitative framework for the study of phonological networks (PNs) for the English language by carrying out principled comparisons to null models, either based on site percolation, randomization techniques, or network growth models.
