Using relations within conceptual systems to translate across conceptual systems.
According to an "external grounding" theory of meaning, a concept's meaning depends on its connection to the external world. By a "conceptual web" account, a concept's meaning depends on its relations to other concepts within the same system. We explore one aspect of meaning, the identification of matching concepts across systems (e.g. people, theories, or cultures). We present a computational algorithm called ABSURDIST (Aligning Between Systems Using Relations Derived Inside Systems for Translation) that uses only within-system similarity relations to find between-system translations. While illustrating the sufficiency of a conceptual web account for translating between systems, simulations of ABSURDIST also indicate powerful synergistic interactions between intrinsic, within-system information and extrinsic information.
Goldstone
Robert L
RL
Psychology Department, Indiana University, Bloomington, IN 47405, USA. rgoldsto@indiana.edu
Rogosky
Brian J
BJ
D000465:Algorithms; D001185:Artificial Intelligence; D001245:Association Learning; D003198:Computer Simulation; D003210:Concept Formation; D006801:Humans; D016571:Neural Networks, Computer; D011578:Psycholinguistics; D012660:Semantics