Abstract
We discuss briefly (from a philosophical point of view) why interfacing a linguistic analyzer with an artificial vision system is an important issue. In particular we claim that a linguistic analyzer supported by perception can actually understand, and not just process symbols. This is a possible objection against John Searle’s well-known Chinese room argument.
Secondly we present REF-MACHINE, a verification system architecture integrating a linguistic analyzer and a vision system. The global system can establish whether a sentence is true or false in a situation given through a symbolic description of a scene or directly in a real scene (given full perception equipment, a camera, and so on).
This is a recognition system, partially implemented in LISP, incorporating an algorithm to interpret some locative expressions.
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© 1996 Kluwer Academic Publishers
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Meini, C., Paternoster, A. (1996). Understanding Language through Vision. In: Mc Kevitt, P. (eds) Integration of Natural Language and Vision Processing. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1639-5_11
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DOI: https://doi.org/10.1007/978-94-009-1639-5_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-3944-1
Online ISBN: 978-94-009-1639-5
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