PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Bio-inspired Grammatical Inference
Leonor Becerra
Foundations on Natural and Artificial Computation - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation Volume Lecture Notes in Computer Science, Number 6686, pp. 313-322, 2011.

Abstract

The field of Grammatical Inference was originally motivated by the problem of natural language acquisition. However, the formal models proposed within this field have left aside this linguistic motivation. In this paper, we propose to improve models and techniques used in Grammatical Inference by using ideas coming from linguistic studies. In that way, we try to give a new bio-inspiration to this field.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:8532
Deposited By:Leonor Becerra
Deposited On:21 February 2012