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(2019) Language, music and computing, Dordrecht, Springer.
Linguistic approaches to robotics
from text analysis to the synthesis of behavior
Artemy Kotov , Nikita Arinkin , Ludmila Zaidelman , Anna Zinina
pp. 207-214
We examine the problem of "understanding robots' and design an F–2 emotional robot to "understand" speech and to support human-like behavior. The suggested system is an applied implementation of the theoretical concept of robotic information flow, suggested by M. Minsky ("proto-specialists") and A. Sloman (CogAff). This system works with real world input – natural texts, speech sound – and produces natural behavioral output – speech, gestures and facial expressions. Unlike other chatbots, the system relies on semantic representation and operates with a set of d-scripts (equivalents to proto-specialists), extracted from advertising and mass media texts as a classification of basic emotional patterns. The process of "understanding" is modelled as the selection of a relevant d-script for the incoming utterance.
Publication details
DOI: 10.1007/978-3-030-05594-3_16
Full citation:
Kotov, A. , Arinkin, N. , Zaidelman, L. , Zinina, A. (2019)., Linguistic approaches to robotics: from text analysis to the synthesis of behavior, in P. Eismont, O. Mitrenina & A. Pereltsvaig (eds.), Language, music and computing, Dordrecht, Springer, pp. 207-214.
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