语料库语言学与临床心理学:调查第一人称听力描述中的拟人化。

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2023-01-01 Epub Date: 2022-04-29 DOI:10.1075/ijcl.21019.col
Luke Collins, Vaclav Brezina, Zsófia Demjén, Elena Semino, Angela Woods
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引用次数: 0

摘要

将语料库语言学方法与其他(语言学和非语言学)方法进行三角分析,可增强 "语料库语言学的严谨性,并将其融入各类研究中"(McEnery & Hardie, 2012:227)。我们的研究调查了心理健康研究的一个重要领域:那些听到别人听不到的声音的人的经历,尤其是这些声音被描述为类似人的方式。我们运用语料库方法,对 40 个声音聆听者的访谈结果进行了定性分析,每个访谈都被编码为涉及声音的 "最小 "或 "复杂 "人格化。我们的分析为访谈的定性编码提供了语言证据,但也超越了二元对立的方法,根据声音聆听者如何提及和描述声音,揭示了声音人格化的不同类型和程度。我们将这些发现与临床心理学治疗干预的相关概念联系起来。
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Corpus linguistics and clinical psychology: Investigating personification in first-person accounts of voice-hearing.

Triangulating corpus linguistic approaches with other (linguistic and non-linguistic) approaches enhances "both the rigour of corpus linguistics and its incorporation into all kinds of research" (McEnery & Hardie, 2012:227). Our study investigates an important area of mental health research: the experiences of those who hear voices that others cannot hear, and particularly the ways in which those voices are described as person-like. We apply corpus methods to augment the findings of a qualitative approach to 40 interviews with voice-hearers, whereby each interview was coded as involving 'minimal' or 'complex' personification of voices. Our analysis provides linguistic evidence in support of the qualitative coding of the interviews, but also goes beyond a binary approach by revealing different types and degrees of personification of voices, based on how they are referred to and described by voice-hearers. We relate these findings to concepts that inform therapeutic interventions in clinical psychology.

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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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