Design of Data-Driven Teaching of Noun Terms:Categorizing,Extracting and Applying Terminological Knowledge
Noun terms play an important role in specialized communication.The specialized knowledge they carry poses challenges to the teaching of English for specific purposes(ESP):teachers often feel at a loss about what to teach regarding these terms and how to teach it.In response to these problems,this paper draws upon the Qualia Structure(QS)proposed in the theory of Generative Lexi-con and classifies the specialized knowledge of noun terms into conceptual relations and collocational relations.This paper also uses Sketch Engine(SkE)to build instant specialized corpora,select knowledge-rich contexts,and create four types of vocabulary exerci-ses.It is believed that the proposed design of data-driven teaching of noun terms provides insights into solving the aforementioned problems.
qualia structureknowledge of noun termsdata-driven teachingESP teachingSketch Engine
万方数据
维普
