基于语料库的对外汉语近义词教学

Corpus-based near-synonym-teaching in TCSL

语料库凭借其大数据及自动处理语料的特点克服了传统近义词教学依靠词典和教师直觉经验带来的不足,是对教学的有益补充。本文提出基于语料库的近义词辨析框架:(1)句中位置;(2)词语搭配;(3)语域分布,并一一做了具体说明。语料库提供的丰富例句和统计结果可使学习者更好地掌握近义词的核心语义和细微差异,有助于提高教学效率。

Corpus with its big data and automatic data-processing functions helps improve the tradi tional near-synonym-teaching which mainly relies on dictionaries and the teacher＇s intuition. This pa- per proposes a corpus-based analytic framework for near-synonym-teaching with the following focu- ses： syntactic locations; collocations; register-related distribution as well as their typical features. The abundant example sentences and statistic results offered by the corpus can help the learners un- derstand the core meaning and slight differences between near-synonyms and improve their learning efficiency.