不论词典的搭配信息多么丰富全面，词典永远不可能像语料库那样提供所有的典型例句，因为词典的篇幅总是有限的。
However comprehensive the collocation information is in a dictionary, a dictionary can never, for the limitation of its space, enumerate all the illustrative examples as a corpus does.
本文重点分析了语料库及其检索工具所提供的词频表和惯用搭配在英语教学中的应用。
This paper focuses on the use of frequency lists and collocations provided by corpora and the corresponding concordancers in English language teaching.
设计并实现语法搭配知识库。
Design and implement the grammatical collocation repository.
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。
This paper introduces two major approaches to collocational study in corpus linguistics, corpus-based approach and corpus-driven approach.
介绍了使用混合策略从汉英双语语料库中抽取搭配的方法。
This paper introduces a new approach to extract collocation from Chinese-English parallel corpora using hybrid strategy.
基于数据的方法以语料库索引为基本依据，在传统的句法框架内对词项的搭配进行检查与概括；
In the corpus-based approach, concordance data is extracted from a corpus on a random basis and examined within a colligational framework to generalize the collocational behaviour of a key word.
在研究英语介词相关短语和句式的基础上，给出了语义模式的概念，构建了介词相关短语语义模式库、相关句式语义模式库、主虚量库和固定搭配知识库。
This paper presents the concept of semantic pattern, and constructs semantic pattern base of English preposition phrases and sentences, major parameter base and knowledge base of English set phrases.
然后在语料库中统计其生频数、计算T值和MI值，按其搭配强度得出限定词搭配的排序。
T-scores and MI-scores are calculated to measure the collocational strength of patterns and Determiner collocations are ranked by collocational strength.
其研究方法不同于内省法，这些基于语料库得出的搭配更地道，更准确，更利于指导理论研究和教学实践。
Determiner collocations based on corpus are more reliable and authentic, which is preferable to guide theoretical research and teaching.
本文从词典编纂、词频研究、词语搭配研究三方面探讨了以语料库为基础的词汇研究。
This paper discusses corpus-based study on lexicography, word frequency of occurrence and collocation.
并针对该领域建立了搭配知识库，作为消歧的依据。
It is arrange in pairs database of the field that make disambiguation do.
并针对该领域建立了搭配知识库，作为消歧的依据。
It is arrange in pairs database of the field that make disambiguation do.
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