Dual-Coding Theory and Connectionist Lexical Selection
cmp-lg
2008-02-03 v1 计算与语言
摘要
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.
引用
@article{arxiv.cmp-lg/9405035,
title = {Dual-Coding Theory and Connectionist Lexical Selection},
author = {Ye-Yi Wang},
journal= {arXiv preprint arXiv:cmp-lg/9405035},
year = {2008}
}
备注
3 pages, ACL94 student session