Word Activation Forces: Distinctive Statistics Revealing Word Associations
Word Activation Forces: Distinctive Statistics Revealing Word Associations
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DOI：
10.1007/s11277-012-0740-1
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发表时间：
2012-10
影响因子：
2.2
通讯作者：
Jun Guo;Guang Chen;Weiran Xu
中科院分区：
文献类型：
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作者：
Jun Guo;Guang Chen;Weiran Xu
词汇激活在许多不同的科学领域引起了大量的研究。在预测和解释这一基本语言现象方面，各种理论一直争论不休。从力学的角度出发，本研究认为词汇激活是一种机械力，并将万有引力公式与相应的假想质量和距离相适应来量化它们的大小，这些假想质量和距离是通过统计语言经验来估计的。在大规模的实验中，我们发现词激活力不仅能直接预测各种词的激活，而且还能产生一种简单且与人类相当准确的方法来识别词的最密切联系，包括同义词、近义词、反义词和相似的功能词。确定最亲密的联系人与1万多个流行英语单词的似是而非是非常鼓舞人心的。
Word activationhas caused ample investigations in many different scientific areas. Various theories have long been debated in predicting and interpreting the fundamental language phenomenon. From a perspective of mechanics, this study considers the word activations asimaginary forcesand quantifies their amount by adapting the formula of the universal gravitation to the correspondingimaginary massesanddistancethat are estimated via the statistics of language experience. In large scale experiments, we found that the word activation forces not only straightforwardly predict various kinds of word activations, but also lead to a simple and human-comparably accurate measure to identify word closest associates including synonyms, near-synonyms, antonyms and similar functional words. The plausibility of identified closest associates with over 10,000 popular English words is highly inspiring.