ML p(r)ior | Dual-Coding Theory and Connectionist Lexical Selection
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Dual-Coding Theory and Connectionist Lexical Selection

1994-05-31
9405035 | cmp-lg
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.
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