A model of language learning with semantics and meaning-preserving corrections

作者:

摘要

We present a computational model that takes into account semantics for language learning and allows us to model meaning-preserving corrections. The model is constructed with a learner and a teacher who interact in a sequence of shared situations by producing utterances intended to denote a unique object in each situation.

论文关键词:Semantics,Corrections,Language learning,Grammar learning

论文评审过程:Received 25 August 2015, Revised 30 September 2016, Accepted 4 October 2016, Available online 11 October 2016, Version of Record 19 October 2016.

论文官网地址:https://doi.org/10.1016/j.artint.2016.10.002