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Lyon, France
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-0-7695-4513-4
pp: 147-150
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.
INDEX TERMS
semantics, corrections, interactive learning
CITATION
Dana Angluin, Leonor Becerra-Bonache, "An Overview of How Semantics and Corrections Can Help Language Learning", WI-IAT, 2011, Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on 2011, pp. 147-150, doi:10.1109/WI-IAT.2011.173
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