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Gagliardi, Annie; Feldman, Naomi H.; Lidz, Jeffrey – Cognitive Science, 2017
Children acquiring languages with noun classes (grammatical gender) have ample statistical information available that characterizes the distribution of nouns into these classes, but their use of this information to classify novel nouns differs from the predictions made by an optimal Bayesian classifier. We use rational analysis to investigate the…
Descriptors: Children, Statistics, Learning, Bayesian Statistics
Goldberg, Adele E. – Cognition, 2013
Typologists have long observed that there are certain distributional patterns that are not evenly distributed among the world's languages. This discussion note revisits a recent experimental investigation of one such intriguing case, so-called "universal 18", by Culbertson, Smolensky, and Legendre (2012). The authors find that adult learners are…
Descriptors: Language Classification, Adult Students, Grammar, Artificial Languages
Randolph, Justus J. – Online Submission, 2005
In this article, I discuss a method for teaching EFL students about language bias. The method involves (A) introducing vocabulary, (B) activating knowledge, (C) giving instruction, (D) group and individual practice, and (E) reflection. I also summarize guidelines for teaching students about the use of gendered pronouns, gender-loaded nouns and…
Descriptors: Teaching Methods, English (Second Language), Second Language Learning, Language Usage