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We probably sense sense probabilities
Language, Cognition and Neuroscience ( IF 2.3 ) Pub Date : 2021-04-02 , DOI: 10.1080/23273798.2021.1909083
Dušica Filipović Đurđević 1, 2, 3 , Aleksandar Kostić 2
Affiliation  

ABSTRACT

In this paper, we demonstrate the effects of Information Theory measures on the processing of polysemous nouns and reveal that the sensitivity to multiple related senses can be learned from the linguistic context. We collected large-scale data and applied a correlation design to show that an increase in sense uncertainty (or sense diversity) is followed by a faster visual lexical decision. The facilitatory effect of sense uncertainty was revealed by the predictive power of entropy, followed by the additional analysis, which revealed that both the number of senses and the balance of sense probabilities affected processing. For the first time, the balance of sense probabilities was described via redundancy to demonstrate the effect of the numerical description of the balance of sense probabilities. Finally, we crossed distribution semantics and discrimination learning to show that polysemy effects can arise as a consequence of the principles of error-driven learning.



中文翻译:

我们可能会感觉到感觉概率

摘要

在本文中,我们展示了信息论措施对多义名词处理的影响,并表明可以从语言上下文中学习对多种相关意义的敏感性。我们收集了大规模数据并应用了相关性设计,以表明在感觉不确定性(或感觉多样性)增加之后会出现更快的视觉词汇决策。熵的预测能力揭示了感官不确定性的促进作用,随后进行了额外的分析,这表明感官的数量和感官概率的平衡都会影响处理。首次通过冗余描述意义概率的平衡,以证明意义概率平衡的数值描述的效果。最后,

更新日期:2021-04-02
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