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动作动词的潜在语义反映了强度和情感内容的语音参数。

Latent semantics of action verbs reflect phonetic parameters of intensity and emotional content.

作者信息

Petersen Michael Kai

机构信息

Cognitive Systems, DTU Compute, Building 324, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.

出版信息

PLoS One. 2015 Apr 7;10(4):e0121575. doi: 10.1371/journal.pone.0121575. eCollection 2015.

Abstract

Conjuring up our thoughts, language reflects statistical patterns of word co-occurrences which in turn come to describe how we perceive the world. Whether counting how frequently nouns and verbs combine in Google search queries, or extracting eigenvectors from term document matrices made up of Wikipedia lines and Shakespeare plots, the resulting latent semantics capture not only the associative links which form concepts, but also spatial dimensions embedded within the surface structure of language. As both the shape and movements of objects have been found to be associated with phonetic contrasts already in toddlers, this study explores whether articulatory and acoustic parameters may likewise differentiate the latent semantics of action verbs. Selecting 3 × 20 emotion-, face-, and hand-related verbs known to activate premotor areas in the brain, their mutual cosine similarities were computed using latent semantic analysis LSA, and the resulting adjacency matrices were compared based on two different large scale text corpora: HAWIK and TASA. Applying hierarchical clustering to identify common structures across the two text corpora, the verbs largely divide into combined mouth and hand movements versus emotional expressions. Transforming the verbs into their constituent phonemes, and projecting them into an articulatory space framed by tongue height and formant frequencies, the clustered small and large size movements appear differentiated by front versus back vowels corresponding to increasing levels of arousal. Whereas the clustered emotional verbs seem characterized by sequences of close versus open jaw produced phonemes, generating up- or downwards shifts in formant frequencies that may influence their perceived valence. Suggesting, that the latent semantics of action verbs reflect parameters of intensity and emotional polarity that appear correlated with the articulatory contrasts and acoustic characteristics of phonemes.

摘要

在我们的思维中,语言反映了词汇共现的统计模式,而这些模式反过来又描述了我们对世界的认知方式。无论是统计谷歌搜索查询中名词和动词组合的频率,还是从由维基百科条目和莎士比亚情节组成的词项文档矩阵中提取特征向量,由此产生的潜在语义不仅捕捉到了形成概念的联想链接,还捕捉到了嵌入在语言表面结构中的空间维度。由于在幼儿中已经发现物体的形状和运动都与语音对比有关,本研究探讨发音和声学参数是否同样可以区分动作动词的潜在语义。选择3×20个已知能激活大脑运动前区的与情绪、面部和手部相关的动词,使用潜在语义分析(LSA)计算它们的相互余弦相似度,并基于两个不同的大规模文本语料库:HAWIK和TASA对得到的邻接矩阵进行比较。应用层次聚类来识别两个文本语料库中的共同结构,这些动词大致分为口部和手部联合动作与情绪表达。将这些动词转换为其组成音素,并将它们投影到由舌高和共振峰频率构成的发音空间中,聚类后的大小动作似乎通过与唤醒水平增加相对应的前后元音来区分。而聚类后的情绪动词似乎以闭口与开口产生的音素序列为特征,产生共振峰频率的向上或向下偏移,这可能会影响它们的感知效价。这表明,动作动词的潜在语义反映了强度和情绪极性参数,这些参数似乎与音素的发音对比和声学特征相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1bc/4388570/15491b4c39b7/pone.0121575.g001.jpg

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