Understanding language through vision View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1996-04

AUTHORS

Cristina Meini, Alfredo Paternoster

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 flase in a situation given through a symbolic description of a scence 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. More... »

PAGES

37-48

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00159214

DOI

http://dx.doi.org/10.1007/bf00159214

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039848715


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