Lancaster University, UK.
J Child Lang. 2023 Nov;50(6):1394-1410. doi: 10.1017/S0305000923000193. Epub 2023 Mar 22.
Computational models of reading have tended to focus on the cognitive requirements of mapping among written, spoken, and meaning representations of individual words in adult readers. Consequently, the alignment of these computational models with behavioural studies of reading development has to date been limited. Models of reading have provided us with insights into the architecture of the reading system, and these have recently been extended to investigate literacy development, and the early language skills that influence children's reading. These models show us: how learning to read builds on early language skills, why various reading interventions might be more or less effective for different children, and how reading develops across different languages and writing systems. Though there is growing alignment between descriptive models of reading behaviour and computational models, there remains a gap, and I lay out the groundwork for how translation may become increasingly effective through future modelling work.
阅读的计算模型往往侧重于成年读者在书面、口语和单个单词的意义表示之间进行映射的认知要求。因此，迄今为止，这些计算模型与阅读发展的行为研究的一致性非常有限。阅读模型为我们提供了对阅读系统架构的深入了解，并且最近这些模型已经扩展到对读写发展和影响儿童阅读的早期语言技能的研究。这些模型向我们展示了：学习阅读如何建立在早期语言技能的基础上，为什么各种阅读干预措施对不同的孩子可能更有效或更无效，以及阅读如何在不同的语言和书写系统中发展。尽管阅读行为的描述性模型和计算模型之间的一致性越来越强，但仍存在差距，我为未来的建模工作如何通过翻译变得更加有效奠定了基础。
