摘要
二语教学中,重视表达取向的“基本形式”观致力于构建一个“基本形式库”。本文以微博语料库为例,将其中高频词设置为检索词,依据Word2vec训练的词向量进行检索,围绕检索词查找近似词来构成(准)等义组,继而进一步确定该组的“基本形式”。本文初步提出了一种兼具可操作性和效率性的建设方法,作为人工建设“基本形式库”的辅助工具,并检索出了一部分基本形式(准)等义组作为前人研究的补充,为“基本形式”观理论进一步发展提供工具与思考。
In second language teaching,the“Basic Forms”concept,which emphasizes semantic expression,aims to construct a“Basic Form Corpus”.Taking the Weibo corpus as an example,this paper sets high-frequency words as search items and employs Word2vec-trained word vectors for retrieval.The(quasi-)synonym group is formed by searching for synonyms related to search items,further establishing the“Basic Forms”of the group.The paper proposes a preliminary method that combines operability and efficiency.As an auxiliary tool for constructing the“Basic Form Corpus”,a subset of the basic form(quasi-)synonym group is retrieved to supplement previous studies,offering some suggestions for further research of the“Basic Form”approach.
作者
杨苛鑫
庄会彬
杨牧
YANG Kexin;ZHUANG Huibin;YANG Mu(School of Culture and Communication,Shandong University;School of International Studies,Zhejiang University)
出处
《国际汉语教学研究》
2024年第3期76-84,共9页
Journal of International Chinese Teaching
