Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2011)
Aug. 22, 2011 to Aug. 27, 2011
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.
semantics, corrections, interactive learning
Dana Angluin, Leonor Becerra-Bonache, "An Overview of How Semantics and Corrections Can Help Language Learning", Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, vol. 03, no. , pp. 147-150, 2011, doi:10.1109/WI-IAT.2011.173