用rang剖析汉语致使结构(讓), shi(使) 和ling(令) 使用框架语义特征

IF 1 2区 文学 0 LANGUAGE & LINGUISTICS
Andreas Liesenfeld, Meichun Liu, Chu-Ren Huang
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引用次数: 3

摘要

摘要这项行为特征分析(BP)研究考察了近同义词rang的使用(讓), shi(使) 和ling(令), 汉语因果关系的三种表达方式。我们没有使用开箱即用的BP设计,而是提出了一种改进的分析方法,该方法包括一系列框架语义特征,旨在捕捉这种结构的槽填充物的变化。本研究通过对近同义词的搭配、词汇语义和框架语义环境的38个语境特征(ID标签)的综合分析,考察了让、时、令三个词复杂的语义变化。我们的数据集由大约100000个数据点组成,基于对三个变体的1002个普通话句子的注释。使用多维缩放和层次聚类分析来比较每个近同义词的BP。研究结果表明,让、时和令都具有不同的特征组合,以及不同的特征类型如何根据其使用模式来区分近义词。在方法上,本研究说明了如何根据该方法对产生经验可验证结果的强调,修改行为特征以包括框架语义特征,以及这些特征如何有助于近义词的比较分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profiling the Chinese causative construction with rang (讓), shi (使) and ling (令) using frame semantic features
Abstract This behavioural profiling (BP) study examines the use of the near-synonyms rang (讓), shi (使) and ling (令), three ways to express cause-effect relationships in Chinese. Instead of using an out-of-the-box BP design, we present a modified approach to profiling that includes a range of frame semantic features that aim to capture variation of slot fillers of this construction. The study investigates the intricate semantic variation of rang, shi and ling through a comprehensive analysis of 38 contextual features (ID tags) that characterize the collocational, lexical semantic and frame semantic environment of the near-synonyms. Our dataset consists of around 100.000 data points based on the annotation of 1002 sentences of Mandarin Chinese of three varieties. The BPs of each near-synonym are compared using multidimensional scaling and hierarchical cluster analysis. The results show that rang, shi and ling are each characterized by a combination of distinctive features and how different feature types contribute to setting the near-synonyms apart based on their usage patterns. Methodologically, this study illustrates how behavioural profiling can be modified to include frame semantic features in accordance with the method’s emphasis on producing empirically verifiable results and how these features can aid a comparative analysis of near-synonyms.
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来源期刊
CiteScore
4.20
自引率
12.50%
发文量
15
期刊介绍: Corpus Linguistics and Linguistic Theory (CLLT) is a peer-reviewed journal publishing high-quality original corpus-based research focusing on theoretically relevant issues in all core areas of linguistic research, or other recognized topic areas. It provides a forum for researchers from different theoretical backgrounds and different areas of interest that share a commitment to the systematic and exhaustive analysis of naturally occurring language. Contributions from all theoretical frameworks are welcome but they should be addressed at a general audience and thus be explicit about their assumptions and discovery procedures and provide sufficient theoretical background to be accessible to researchers from different frameworks. Topics Corpus Linguistics Quantitative Linguistics Phonology Morphology Semantics Syntax Pragmatics.
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