基于语料库的词汇深度分析——以致使结构“Get Treated”为例  

A Corpus-Based Study of Vocabulary Depth—Taking the Causative Structure “Get Treated” as an Example

作　　者：范若澜 

机构地区：[1]浙江工商大学外国语学院,浙江 杭州

出　　处：《现代语言学》2023年第11期5293-5298,共6页Modern Linguistics

摘　　要：语料库工具提供了大量真实的词汇搭配实例,使得对词汇特点的深入观察和分析成为可能,为词汇研究提供了新的视角和途径。本研究基于美国当代英语语料库(COCA),以Sinclair的扩展意义单位模型为理论框架,从类联接、搭配、语义倾向和语义韵等四个维度对“get treated”这一致使结构进行分析。研究揭示了“get treated”在语境中的具体使用方式、搭配、语义特点等,促进了对其词汇知识的全面掌握,并为词汇深度学习提供有益的启示和参考。Corpus tools provide a large amount of authentic instances of collocations, enabling in-depth obser-vation and analysis of the features of vocabularies, as well as offering new perspectives and ap-proaches for research in the related field. Based on the Corpus of Contemporary American English (COCA), this study takes Sinclair’s Extended Unit of Meaning as the theoretical foundation, and ana-lyzes the causative structure “get treated” from four dimensions: colligation, collocation, semantic preference, and semantic prosody. This study sheds light on the specific usage, collocations, and semantic characteristics of “get treated” in the context, contributing to a comprehensive under-standing of its vocabulary knowledge, as well as providing valuable implications for vocabulary learning.

关 键 词：语料库 类联接 搭配 语义倾向 语义韵 

分 类 号：H31[语言文字—英语]