连接主义双过程(CDP)方法在朗读建模中的应用

M. Zorzi
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引用次数: 39

摘要

本文回顾了连接主义双过程(CDP)建模大声朗读的方法,从激励模型的连接主义双路径架构的计算原理到由嵌套增量建模策略指导的最新发展。基于该模型的一个极大简化的前馈版本(ffCDP+)的新模拟表明,该模型在计算单词命名中的关键现象方面的成功依赖于其亚词法路径的性质。ffCDP+的结果表明,语音组合的两层关联网络是CDP+的核心组成部分,突出了模型固有的模块化。ffCDP+将重参数的交互式词汇路径转化为简单的词汇音系频率加权激活。讨论了该模型的进一步发展和今后的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The connectionist dual process (CDP) approach to modelling reading aloud
This paper reviews the Connectionist Dual Process (CDP) approach to modelling reading aloud, from the computational principles that motivate the model's connectionist dual-route architecture to the most recent developments guided by a nested incremental modelling strategy. New simulations based on a greatly simplified, feedforward version of the model (ffCDP+) demonstrate that the models' success in accounting for key phenomena in word naming relies on the nature of its sublexical route. The results with ffCDP+, where the parameter-heavy, interactive lexical route is turned into a simple frequency-weighted activation of lexical phonology, show that the two-layer associative network of phonological assembly is the core component in CDP+ and highlight the intrinsic modularity of the model. Further developments of the model and some directions for future research are discussed.
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