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. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Becerra-Bonache, L. (2011). Towards a bio-computational model of natural language learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6691 LNCS, pp. 473–480). Springer Verlag. https://doi.org/10.1007/978-3-642-21501-8_59
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