Computational Models of Tutor Feedback in Language Acquisition

Jens Nevens, Michael Spranger

Research output: Chapter in Book/Report/Conference proceedingConference paper

3 Citations (Scopus)

Abstract

This paper investigates the role of tutor feedback in language learning using computational models. We compare two dominant paradigms in language learning: interactive learning and cross-situational learning - which differ primarily in the role of social feedback such as gaze or pointing. We analyze the relationship between these two paradigms and propose a new mixed paradigm that combines the two paradigms and allows to test algorithms in experiments that combine no feedback and social feedback. To deal with mixed feedback experiments, we develop new algorithms and show how they perform with respect to traditional knn and prototype approaches.
Original languageEnglish
Title of host publication7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017
PublisherIEEE Computational Intelligence Society
Pages221-226
Number of pages6
Volume2018-January
ISBN (Electronic)978-1-5386-3715-9
ISBN (Print)978-1-5386-3715-9, 978-1-5386-3716-6
DOIs
Publication statusPublished - 2 Apr 2018
Event2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics - Congress Center of the Instituto Superior Tecnico , Lisbon, Portugal
Duration: 18 Sep 201721 Sep 2017

Publication series

Name7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017
Volume2018-January

Conference

Conference2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics
Abbreviated titleICDL-EpiRob
Country/TerritoryPortugal
CityLisbon
Period18/09/1721/09/17

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