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Toward a neuroscience-informed evaluation of language technology

机译:进行神经科学的语言技术评估

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With the ever-increasing number of available language technology products, there is also a need to evaluate them objectively. Unsubstantiated beliefs about what language technology can and cannot do inside or outside the language classroom often influence decisions about the choice of language technology to be used. The declarative/procedural model, which makes a clear distinction between the declarative and procedural memory systems, can help to provide an objective, neuroscience-informed evaluation of language technology. The central argument in this paper is that language technology caters predominantly to the declarative memory system. This system is very effective in forming explicit metalinguistic knowledge but does not lead to automatic production or procedural ability. For technology to promote procedural ability, it should instead cater to the procedural memory, which involves the implicit neurofunctional computational system. This paper provides a language technology evaluation flowchart to help professionals evaluate the language technology products they will use and gauge their expectations of those products more realistically. It also provides a list of factors to be taken into account in maximizing the benefits of technology.
机译:随着可用语言技术产品数量的不断增加,也需要客观地对其进行评估。关于语言技术在语言教室内部或外部可以做什么和不能做什么的没有根据的信念,通常会影响有关所使用语言技术选择的决定。声明性/过程模型在声明性和过程性存储系统之间进行了清晰的区分,可以帮助提供客观,神经科学的语言技术评估。本文的中心论点是语言技术主要迎合声明性存储系统。该系统在形成明确的语言学知识方面非常有效,但不会导致自动生产或过程能力。对于提升程序能力的技术,它应该迎合程序记忆,它涉及隐式神经功能计算系统。本文提供了一种语言技术评估流程图,以帮助专业人员评估他们将使用的语言技术产品,并更加实际地评估他们对这些产品的期望。它还提供了在最大化技术优势时要考虑的因素列表。

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