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Constraining the Search Space in Cross-Situational Word Learning: Different Models Make Different Predictions.

, , , and . CogSci, cognitivesciencesociety.org, (2016)

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Using rule-induction techniques to model pronunciation variation in Dutch., , and . Comput. Speech Lang., 18 (1): 1-23 (2004)A Rule Induction Approach to Modeling Regional Pronunciation Variation., , and . COLING, page 327-333. Morgan Kaufmann, (2000)Regional Bias in the Broad Phonetic Transcriptions of the Spoken Dutch Corpus., and . LREC, page 2080-2083. European Language Resources Association (ELRA), (2006)MBT: A Memory-Based Part of Speech Tagger-Generator., , , and . VLC@COLING, (1996)Distributional learning and lexical category acquisition: What makes words easy to categorize?, , , and . CogSci, cognitivesciencesociety.org, (2017)Suprasegmental aspects of pre-lexical speech in cochlear implanted children., , and . INTERSPEECH, page 638-641. ISCA, (2007)Child and adult spoken language resources: the CHILDES system., and . LREC, page 1367-1372. European Language Resources Association, (1998)Machine learning for modeling Dutch pronunciation variation., , and . CLIN, UILOTS Utrecht, (1999)Meta-Learning for Phonemic Annotation of Corpora., , , and . ICML, page 375-382. Morgan Kaufmann, (2000)Factors affecting schwa-insertion in final consonant clusters in standard dutch., , , and . INTERSPEECH, page 75-78. ISCA, (2001)