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

Reference:

Bogatyreva, O. and 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.

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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.

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