PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

An Overview of How Semantics and Corrections Can Help Language Learning
Dana Angluin and Leonor Becerra
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops pp. 147-150, 2011.

Abstract

We present an overview of the results obtained with a computational model that takes into account semantics and corrections for language learning. This model is constructed with a learner and a teacher who interact in a sequence of shared situations. The model was tested with limited sublanguages of 10 natural languages in a common domain of situations.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
ID Code:8548
Deposited By:Leonor Becerra
Deposited On:21 February 2012