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Machine Learning of Natural Language: An Empiricist Alternative to Nativist Theory *

By Walter Daelemans, Steven Gillis and Gert Durieux


Current theorizing about language acquisition heavily relies on the idea of a priori knowledge. Linguists and psycholinguists adhering to the Chomskyan theory of Universal Grammar accept the assumption that in order to learn a natural language a substantial amount of prewired knowledge about the content and structure of language is required. This 'nativist ' view has recently been implemented in computationa

Year: 2014
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