The application of PowerGREP in corpus processing for foreign language teaching

Corpus annotation is an important but difficult part in corpus linguistic research. In addition to speech tagging, bulk or automatic generation of other types of labels, including the labeling of emantics, syntax, discourse and pragmatics, are difficult to achieve. This paper describes the the application of PowerGREP in corpus processing for foreign language teaching, focusing on the three main functions including retrieval, editing and replacement, and collection as well. In addition, taking the data of BNC as an example, the paper showed how to apply PowerGREP in automatic or semi-automatic corpus processing.