汉语颜色词hēi“黑”的隐喻多义词

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS
Meichun Liu, Jinmeng Dou
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引用次数: 0

摘要

本文以语料库为基础,从隐喻多义词的角度对汉语颜色词hēi“黑”的不同用法进行了认知语义研究。我们假设可以通过聚类上下文特征(包括搭配模式、形态句法和语义属性以及话语信息)来捕获hēi“black”的八个隐喻意义之间的语义(非)相似性。采用Behavioral Profiles方法对46个上下文特征的800个实例进行注释分析,并对注释数据进行分层聚集聚类分析。结果表明,hēi“黑”的8种隐喻意义可分为3类。根据概念隐喻理论,这种聚类可以用颜色感知和颜色变化的概念基础来解释。本研究证明了基于语料库的行为概况方法在探索隐喻延伸和意义分化的潜在认知机制方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metaphorical polysemy of the Chinese color term hēi 黑 “black”
This paper reports a corpus-based, cognitive semantic study on profiling the varied uses of the Chinese color term hēi 黑 “black” with regard to its metaphorical polysemy. We hypothesize that the semantic (dis)similarities among the eight metaphorical meanings of hēi “black” can be captured by clustering their contextual features, including collocational patterns, morphosyntactic and semantic properties, and discourse information. The Behavioral Profiles approach is adopted for the analyses with the annotations of 800 instances for 46 contextual features and a hierarchical agglomerative cluster analysis conducted on the annotated data. The results show that the eight metaphorical senses of hēi “black” fall into three clusters. This clustering can be explained by the conceptual bases pertaining to color perceptions and color changes, in line with Conceptual Metaphor Theory. This study demonstrates the effectiveness of the corpus-based Behavioral Profiles approach in exploring the underlying cognitive mechanisms of metaphorical extensions and meaning differentiations.
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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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