Towards a Bio-computational Model of Natural Language Learning
Leonor Becerra
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks Volume Lecture Notes in Computer Science, Number 6691, pp. 473-480, 2011.

Abstract

This paper tries to bring together the theory of Grammatical Inference and the studies of natural language acquisition. We discuss how the studies of natural language acquisition can improve results in the field of Grammatical Inference, and how a computational model inspired by such studies can help to answer several key questions in natural language learning.

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