Cohort and rhyme priming emerge from the multiplex network structure of the mental lexicon
Complex networks recently opened new ways for investigating how language use is influenced by the mental representation of word similarities. This work adopts the framework of multiplex lexical networks for investigating lexical retrieval from memory. The focus is on priming effects, where the processing of couple of words sharing specific features is faster and more accurate. Supported by recent findings of network distance influencing lexical retrieval, the multiplex network approach tests how the layout of hundreds of thousands of word-word similarities in the mental lexicon of words can lead to priming effects on multiple, combined semantic and phonological levels.Results provides quantitative evidence that priming effects are encoded directly in the multiplex structure of the mental representation of words sharing phonemes either in their onsets (cohort priming) or at their ends (rhyme priming). By comparison with randomised null models, both cohort and priming effects are found to be emerging properties of the mental lexicon arising from its multiplexity: These priming effects are absent on individual layers but become prominent on the combined multiplex structure. The emergence of priming effects due to the multiplex nature of the mental lexicon is displayed both in case only semantic layers are considered, an approximated representation of the so-called semantic memory, but also when semantics is enriched with phonological similarities, an approximated representation of the lexical-auditory nature of the mental lexicon. These results indicate that multiplex lexical networks represent an insightful approach for shedding light on the interplay between multiple aspects of language and human cognition, as it can open new paths for the quantification of cognitive patterns in synergy with experimental psycholinguistic data.