Dual-Coding Theory and Connectionist Lexical Selection
<|reference_start|>Dual-Coding Theory and Connectionist Lexical Selection: 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.<|reference_end|>
@article{wang1994dual-coding,
    title={Dual-Coding Theory and Connectionist Lexical Selection},
    author={Ye-Yi Wang (Carnegie Mellon University)},
    journal={arXiv preprint arXiv:cmp-lg/9405035},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9405035},
    primaryClass={cmp-lg cs.CL}
}