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A cognitively plausible model for grammar induction

机译:一个认知上合理的语法归纳模型

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This paper aims to bring theoretical linguistics and cognition-general theories of learning into closer contact. I argue that linguists' notions of rich UGs are well-founded, but that cognition-general learning approaches are viable as well and that the two can and should co-exist and support each other. Specifically, I use the observation that any theory of UG provides a learning criterion -- the total memory space used to store a grammar and its encoding of the input -- that supports learning according to the principle of Minimum Description-Length. This mapping from UGs to learners maintains a minimal ontological commitment: the learner for a particular UG uses only what is already required to account for linguistic competence in adults. I suggest that such learners should be our null hypothesis regarding the child's learning mechanism, and that furthermore, the mapping from theories of UG to learners provides a framework for comparing theories of UG.
机译:本文旨在使理论语言学和认知通用学习理论紧密联系。我认为语言学家关于丰富的UG的概念是有充分根据的,但是一般认知学习方法也是可行的,并且两者可以并且应该相互并存和相互支持。具体来说,我观察到,任何UG理论都提供了一种学习准则-用于存储语法及其对输入的编码的总存储空间-支持根据最小描述长度原则进行学习。从UGs到学习者的这种映射保持了最小的本体论承诺:特定UG的学习者仅使用已经要求的语言能力来解释成人的语言能力。我建议这些学习者应该是关于孩子学习机制的零假设,而且,从UG理论到学习者的映射提供了一个比较UG理论的框架。

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