Iterating semantic automata

Iterating semantic automata
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迭代语义自动机

DOI:
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发表时间:
2013
期刊:
影响因子:
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通讯作者:
Thomas F. Icard
Thomas F. Icard
中科院分区:
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文献类型:
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作者:
Shane Steinert;Thomas F. Icard

文献摘要

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最初于1980年代开发的语义自动机框架提供了广义量化符的计算解释。尽管最近的实验结果将这些自动机的结构特征与使用量词处理句子的神经解剖学需求相关联,但理论框架仍然在很大程度上尚未开发。在本文中,在以现代风格展示了一些关于语义自动机的经典结果之后,我们介绍了语义自动机对多核量化的首次应用,并展示了迭代量化器的自动机。我们还讨论了语义自动机在语言理论中的作用,并为使用嵌入式量词的句子处理提供了新的经验预测。
The semantic automata framework, developed originally in the 1980s, provides computational interpretations of generalized quantifiers. While recent experimental results have associated structural features of these automata with neuroanatomical demands in processing sentences with quantifiers, the theoretical framework has remained largely unexplored. In this paper, after presenting some classic results on semantic automata in a modern style, we present the first application of semantic automata to polyadic quantification, exhibiting automata for iterated quantifiers. We also discuss the role of semantic automata in linguistic theory and offer new empirical predictions for sentence processing with embedded quantifiers.