Dual-Coding Theory and Connectionist Lexical Selection
Abstract
Description
We introduce the bilingual dual-coding theory as a model for bilingual mental representation. Based on this model, lexical selection neural networks are implemented for a connectionist transfer project in machine translation. This lexical selection approach has two advantages. First, it is learnable. Little human effort on knowledge engineering is required. Secondly, it is psycholinguistically well-founded.
3 pages, ACL94 student session
3 pages, ACL94 student session