INPUT-DRIVEN LANGUAGE LEARNING
نویسندگان
چکیده
منابع مشابه
Input-driven Language Learning
Input-driven models provide an explicit and readily testable account of language learning. Although we share Ellis’s view that the statistical structure of the linguistic environment is a crucial and, until recently, relatively neglected variable in language learning, we also recognize that the approach makes three assumptions about cognition and language learning that are not universally share...
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A model of vocabulary and grammar acquisition is presented. Two agents are involved in the simulation, a mother and a child. The mother is equipped from the outset with a substantial knowledge of language, in the form of two sets of rules. Her lexical rules map atomic meanings (‘concepts’) onto words. Her grammatical rules state generalizations about mappings between complex meanings and string...
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We introduce and investigate input-driven stack automata, which are a generalization of input-driven pushdown automata that recently became popular under the name visibly pushdown automata. Basically, the idea is that the input letters uniquely determine the operations on the pushdown store. This can nicely be generalized to stack automata by further types of input letters which are responsible...
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Input-Driven Opacity by Marc Ettlinger Doctor of Philosophy in Linguistics University of California, Berkeley Professor Keith Johnson, Chair This study addresses the issue of phonological opacity. While many previous proposals have attempted to offer all-encompassing theories of opacity, the goal of this study is more modest based on the belief that further understanding of the phenomenon of op...
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ژورنال
عنوان ژورنال: Studies in Second Language Acquisition
سال: 2002
ISSN: 0272-2631,1470-1545
DOI: 10.1017/s0272263102002103