Adaptable language understanding: Can robots understand context bypass grammar rules?

O Bogatyreva, Christopher McMahon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Language is the only way for us to communicate with robots. It can be programming language, language of commands or ordinary speech. To achieve adaptable autonomous functioning of a robot while understanding commands within different contexts is strongly desirable. We suggest a biomimetic approach to the problem of context understanding evoking the model of animal behaviour within a social environment, where context plays crucial role. We propose a quasi-semantic model for a context which allows to take into the account words values as well as word frequency.
Original languageEnglish
Title of host publicationProceedings of AISB'06: Adaptation in Artificial and Biological Systems
Pages107-111
Number of pages5
Volume2
Publication statusPublished - 2006

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    Bogatyreva, O., & McMahon, C. (2006). Adaptable language understanding: Can robots understand context bypass grammar rules? In Proceedings of AISB'06: Adaptation in Artificial and Biological Systems (Vol. 2, pp. 107-111)