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Extracting salient sublexical units from written texts: Emophon a corpus-based approach to phonological iconicity

机译:从书面文本中提取显着的亚词性单位: Emophon这是一种基于语料库的语音象似性方法

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摘要

A growing body of literature in psychology, linguistics, and the neurosciences has paid increasing attention to the understanding of the relationships between phonological representations of words and their meaning: a phenomenon also known as phonological iconicity. In this article, we investigate how a text's intended emotional meaning, particularly in literature and poetry, may be reflected at the level of sublexical phonological salience and the use of foregrounded elements. To extract such elements from a given text, we developed a probabilistic model to predict the exceeding of a confidence interval for specific sublexical units concerning their frequency of occurrence within a given text contrasted with a reference linguistic corpus for the German language. Implementing this model in a computational application, we provide a text analysis tool which automatically delivers information about sublexical phonological salience allowing researchers, inter alia, to investigate effects of the sublexical emotional tone of texts based on current findings on phonological iconicity.
机译:心理学,语言学和神经科学领域的文学作品越来越多,人们越来越重视对单词的语音表示形式及其含义之间关系的理解:这种现象也称为语音象似性。在本文中,我们研究了文本的预期情感含义(尤其是在文学和诗歌中)如何在次词汇语音显着性水平和前景元素的使用水平上得到体现。为了从给定的文本中提取这些元素,我们开发了一个概率模型来预测特定亚词法单元在给定文本中与它们的出现频率相比所用的置信区间与德语参考语言语料库的对比。在计算应用程序中实现此模型后,我们提供了一种文本分析工具,该工具可自动提供有关词法音素显着性的信息,从而使研究人员尤其可以根据当前对语音象似性的发现,调查文本的词法情感基调的影响。

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