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Multiple variable cues in the environment promote accurate and robust word learning.

, , , and . CogSci, cognitivesciencesociety.org, (2017)

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Unnatural Language Processing., , , , and . J. Log. Lang. Inf., 8 (3): 363-384 (1999)The Computational Exploration of Visual Word Recognition in a Split Model., and . Neural Comput., 13 (5): 1171-1198 (2001)Predictors of lexical stability in an artificially learnt language., and . CogSci, cognitivesciencesociety.org, (2016)Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains., , , and . CogSci, page 1787-1793. cognitivesciencesociety.org, (2019)Applying Neuroanatomical Distinctions to Connectionist Cognitive Modelling., and . NCPW, page 3-12. Springer, (2000)Different processes for reading words learned before and after onset of literacy., , and . CogSci, cognitivesciencesociety.org, (2017)Examining strains and symptoms of the 'Literacy Virus': The effects of orthographic transparency on phonological processing in a connectionist model of reading., , and . CogSci, cognitivesciencesociety.org, (2014)A comprehensive model of spoken word recognition must be multimodal: Evidence from studies of language mediated visual attention., , and . CogSci, cognitivesciencesociety.org, (2014)Using Statistics to Learn Words and Grammatical Categories: How High Frequency Words Assist Language Acquisition., , and . CogSci, cognitivesciencesociety.org, (2016)Aligning implicit learning and statistical learning: Two approaches, one phenomenon., , , , , and . CogSci, cognitivesciencesociety.org, (2016)