Words cluster phonetically beyond phonotactic regularities
Author(s)
Dautriche, Isabelle; Christophe, Anne; Piantadosi, Steven T.; Mahowald, Kyle Adam; Gibson, Edward A
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Recent evidence suggests that cognitive pressures associated with language acquisition and use could affect the organization of the lexicon. On one hand, consistent with noisy channel models of language (e.g., Levy, 2008), the phonological distance between wordforms should be maximized to avoid perceptual confusability (a pressure for dispersion). On the other hand, a lexicon with high phonological regularity would be simpler to learn, remember and produce (e.g., Monaghan et al., 2011) (a pressure for clumpiness). Here we investigate wordform similarity in the lexicon, using measures of word distance (e.g., phonological neighborhood density) to ask whether there is evidence for dispersion or clumpiness of wordforms in the lexicon. We develop a novel method to compare lexicons to phonotactically-controlled baselines that provide a null hypothesis for how clumpy or sparse wordforms would be as the result of only phonotactics. Results for four languages, Dutch, English, German and French, show that the space of monomorphemic wordforms is clumpier than what would be expected by the best chance model according to a wide variety of measures: minimal pairs, average Levenshtein distance and several network properties. This suggests a fundamental drive for regularity in the lexicon that conflicts with the pressure for words to be as phonologically distinct as possible. Keywords: Linguistics; Lexical design; Communication;
Phonotactics
Date issued
2017-03Department
Massachusetts Institute of Technology. Department of Brain and Cognitive SciencesJournal
Cognition
Publisher
Elsevier
Citation
Dautriche, Isabelle et al. “Words Cluster Phonetically Beyond Phonotactic Regularities.” Cognition 163 (June 2017): 128–145 © 2017 Elsevier B.V.
Version: Author's final manuscript
ISSN
0010-0277