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Dual-Coding Theory and Connectionist Lexical Selection

Ye-Yi Wang
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Abstract

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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Ye-Yi Wang. 1994-05-31. Dual-Coding Theory and Connectionist Lexical Selection. https://arxiv.org/abs/cmp-lg/9405035

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