洛雨 發問時間: 社會與文化語言 · 9 年前

急請英文高手幫幫忙翻譯期刊Cognition 112 (20

幫忙翻一篇期刊的結論

千萬不要用潘一機翻譯

感激

期刊Cognition 112 (2009) 381–396

結論

The capacity to create categories from feature correlations is a powerful tool for predicting properties about the world. By taking a subset of nouns that many children know at 30 months and combining these with features reported to be characteristic of these things, we were able to construct a network that represents a cognitive hypothesis about how information is structured in early semantic networks. Analyses of this network revealed that it had small-world structure and that the local structure was consistent with categories that are largely familiar as ad hoc categories of practical utility.We also found clear differences between conceptual and perceptual features.The perceptual network, due to the abundance and resulting redundancy of perceptual features, maintained local structure under higher thresholds, where as the conceptual network reduced to isolates as the degree of overlap between nouns was increased.Nouns overlapped on several perceptual features but only on a single or very few conceptual features. The pattern of overlap for perceptual features was also such that a given noun could be closely connected to several clusters of densely interconnected nouns that are only sparsely connected to each other. This pattern of overlap allows perceptual features to support several sets of partitions or systems of categories.Whereas conceptual features tend to form isolated collections of densely connected nouns and thus only support a single set of partitions.Both feature types are likely to be important to a functioning category system in which the same information is consistently brought to bear across a variety of contexts, and one in which the information, the set of partitions, is sensitive to changes in context – which set of overlapping perceptual features is relevant could be modulated by the needs of the current context and relevant input from the environment.

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  • 9 年前
    最佳解答

    創建類別從功能相關性的能力是一個功能強大的工具,預測世界有關的屬性。 通過名詞,許多孩子知道在 30 個月,並結合這些特色報告要這些東西的特性的一個子集我們能夠構建一個表示早期語義網路的結構資訊是如何的認知假說的網路。

    這一網路的分析顯示它有小世界結構和本地的結構是符合特設類別的實用,很大程度上熟悉的類別。我們還發現明顯概念和感知功能之間的差異。由於要豐度和感性的功能產生冗余,感性網路維護本地結構下,如株是減至概念網路名詞之間的重疊度增加的高閾值。名詞重疊幾個感知功能,但只對單個或很少的概念功能。 感知功能重疊模式也是這樣,一個給定的名詞可以密切相連只有稀疏連接到每個其他的密集互聯名詞的多個群集。 這種重疊的模式允許感知功能支援幾個集的分區或系統的類別。而概念功能容易形成孤立的集合,密集連接的名詞,因此僅支援單個設置的分區。這兩種功能類型很可能是重要的是能正常工作的類別系統中,相同的資訊一直送到跨多個上下文,承擔和一個有關的分區,一組在的上下文-哪一組重疊感知功能是有關變化敏感可以調製的當前上下文和有關輸入從環境的需要。

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