VPIP: A Lexical Identification Procedure for Perceptual, Cognitive, and Emotional Viewpoint in Narrative Discourse

IF 0.3 0 HUMANITIES, MULTIDISCIPLINARY
L. S. Eekhof, Kobie van Krieken, J. Sanders
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引用次数: 6

Abstract

Although previous work on viewpoint techniques has shown that viewpoint is ubiquitous in narrative discourse, approaches to identify and analyze the linguistic manifestations of viewpoint are currently scattered over different disciplines and dominated by qualitative methods. This article presents the ViewPoint Identification Procedure (VPIP), the first systematic method for the lexical identification of markers of perceptual, cognitive and emotional viewpoint in narrative discourse. Use of this step-wise procedure is facilitated by a large appendix of Dutch viewpoint markers. After the introduction of the procedure and discussion of some special cases, we demonstrate its application by discussing three types of narrative excerpts: a literary narrative, a news narrative, and an oral narrative. Applying the identification procedure to the full news narrative, we show that the VPIP can be reliably used to detect viewpoint markers in long stretches of narrative discourse. As such, the systematic identification of viewpoint has the potential to benefit both established viewpoint scholars and researchers from other fields interested in the analytical and experimental study of narrative and viewpoint. Such experimental studies could complement qualitative studies, ultimately advancing our theoretical understanding of the relation between the linguistic presentation and cognitive processing of viewpoint. Suggestions for elaboration of the VPIP, particularly in the realm of pragmatic viewpoint marking, are formulated in the final part of the paper.
VPIP:叙事话语中感知、认知和情感观点的词汇识别程序
虽然以往关于视点技术的研究表明,视点在叙事话语中是无处不在的,但目前识别和分析视点语言表现的方法分散在不同的学科中,以定性方法为主。本文提出了视点识别程序(VPIP),这是第一个对叙事话语中知觉、认知和情感视点标记进行词汇识别的系统方法。使用这个循序渐进的程序是由荷兰观点标记的大附录方便。在介绍了程序和对一些特殊案例的讨论之后,我们通过讨论文学叙事、新闻叙事和口头叙事三种类型的叙事节选来说明它的应用。将识别过程应用于完整的新闻叙事,我们表明VPIP可以可靠地用于检测长时间叙事话语中的观点标记。因此,对观点的系统识别有可能使既有观点学者和对叙事和观点的分析和实验研究感兴趣的其他领域的研究人员受益。这样的实验研究可以补充定性研究,最终推动我们对语言表征与观点认知加工关系的理论认识。文章的最后部分对VPIP的细化提出了建议,特别是在语用观点标记领域。
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来源期刊
Open Library of Humanities
Open Library of Humanities HUMANITIES, MULTIDISCIPLINARY-
CiteScore
1.30
自引率
20.00%
发文量
24
审稿时长
15 weeks
期刊介绍: The Open Library of Humanities is a peer-reviewed, open-access journal open to submissions from researchers working in any humanities'' discipline in any language. The journal is funded by an international library consortium and has no charges to authors or readers. The Open Library of Humanities is digitally preserved in the CLOCKSS archive.
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