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首页> 外文期刊>電子情報通信学会技術研究報告. ニュ-ロコンピュ-ティング. Neurocomputing >Modeling of developmental change of children's worked acquisition rules -emergence of the usage of the category knowledge based on word order information
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Modeling of developmental change of children's worked acquisition rules -emergence of the usage of the category knowledge based on word order information

机译:基于Word订单信息建模儿童工作收购规则的发展变迁 - 以类别知识的使用

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摘要

It is said that children accelerate their acquisition speed of language by applying some rules called learning bias and narrowing the possibility of mapping between an object and a word. Among learning biases, the taxonomic bias is important from the viewpoint that children can learn the extendibility of word meaning, but its fundamental mechanism is not known. Then, in this study, we try to explain the phenomenon by modeling brain processing from an object recognition to language recognition, and to discuss its calculation process. If we make use of a correlation information of the grammatical usage on two or more objects (noun) that belong to the same category, we can extract a category information of the noun even if the appearance of the objects differs, and explain how the process realizes the taxonomic bias like behavior.
机译:据说,孩子们通过应用一些称为学习偏见的规则并缩小对象和单词之间映射的可能性来加速语言的采购速度。 在学习偏见中,从儿童可以学习词意义的可扩展性的观点来看,分类学偏差是重要的,但它的基本机制并不知道。 然后,在这项研究中,我们尝试通过从对象识别到语言识别来建立大脑处理并讨论其计算过程来解释这种现象。 如果我们利用属于同一类别的两个或更多个对象(名词)的语法使用的相关信息,即使对象的外观不同,我们也可以提取名词的类别信息,并解释过程方式 意识到像行为一样的分类偏见。

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