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Joint Word Segmentation and Phonetic Category Induction.

, , and . ACL (2), The Association for Computer Linguistics, (2016)

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A Framework for Evaluating Speech Representations., , , and . CogSci, cognitivesciencesociety.org, (2016)How to use context to disambiguate overlapping categories: The test case of Japanese vowel length., , , and . CogSci, cognitivesciencesociety.org, (2018)A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability., , , and . EMNLP, page 42-54. ACL, (2013)Rational Distortions of Learners' Linguistic Input.. CoNLL, page 2. Association for Computational Linguistics, (2017)Modeling adaptation to a novel accent., and . CogSci, cognitivesciencesociety.org, (2016)Modeling N400 amplitude using vector space models of word representation., , , and . CogSci, cognitivesciencesociety.org, (2016)Why discourse affects speakers' choice of referring expressions., , , and . ACL (1), page 1639-1649. The Association for Computer Linguistics, (2015)Discovering Pronoun Categories using Discourse Information., , , , and . CogSci, cognitivesciencesociety.org, (2013)Weak semantic context helps phonetic learning in a model of infant language acquisition., , and . ACL (1), page 1073-1083. The Association for Computer Linguistics, (2014)A Unified Model of Categorical Effects in Consonant and Vowel Perception., , and . CogSci, cognitivesciencesociety.org, (2012)