This paper introduces two major approaches to collocational study in corpus linguistics, corpus-based approach and corpus-driven approach.
利用语料库研究词语搭配主要有两种方法：基于数据的方法和数据驱动的方法。
The methods used in this study are primarily corpus-driven because all the major findings yielded from this study are drawn from the corpus.
本文主要采取了语料库驱动的研究方法，文中所得结论均是来自对语料的观察和分析。
Making full use of the modern information technology, corpus-driven learning emphasizes the active learning process to discover language rules from authentic contexts.
基于信息技术的语料驱动学习强调学习者在真实语境中主动探索语言事实、发现语言规律的过程。
Thirdly, for the purpose of a higher precision value, this paper consequently adds error-driven theory in the system to prune the rule corpus.
接着，为了提高正确率，本文又结合错误驱动思想进行规则剪枝，削减了规则自动学习过程所带来的“噪声”；
English corpus-based data-driven learning is a self-taught process, which includes self-monitoring, self-analysis and self-repair.
基于语料库的英语数据驱动学习是一个不断自我调控、自我分析、自我修正的自主性动态学习过程。
English corpus-based data-driven learning is a self-taught process, which includes self-monitoring, self-analysis and self-repair.
基于语料库的英语数据驱动学习是一个不断自我调控、自我分析、自我修正的自主性动态学习过程。
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