Affiliations: School of Foreign Languages, Anhui Agricultural University, Hefei, Anhui 230036, China | E-mail: fang_mingyuan@outlook.com
Correspondence:
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Corresponding author: School of Foreign Languages, Anhui Agricultural University, Hefei, Anhui 230036, China. E-mail: fang_mingyuan@outlook.com.
Abstract: With the development of science and technology, the concept of big data and the Internet of Things is being used in the social life of ordinary people widely more and more. Realizing the efficient use of big data and Internet of Things technology, has become an important means to improve work efficiency and scientific research results. Such a rapid development trend makes each team actively participate in the application of these technologies, hoping to make their work more in line with the trend of the times. Especially for the collection and construction of some databases, it has more advantages than traditional tools. This research makes full use of this technical advantage, selects the abstracts of the core journals of forestry at home and abroad as the corpus source, and builds a small English corpus of forestry. The corpus is used in English teaching in colleges and universities, uses a combination of comparative analysis and sampling surveys, and can play an active role in vocabulary learning and translation practice, semantics, grammar, syntax teaching, thesis writing, etc. Stimulate students’ interest in learning and enhance their independent learning ability and spirit of exploration. The experimental data shows that the English corpus constructed under the background of big data and the Internet of Things improves the average retrieval efficiency of college students by 27.3%, and the comprehensiveness of retrieval items increases by 9.6% on average. These improvements have a very positive effect on the development of foreign language teaching in related professional colleges and universities.
Keywords: English corpus for forestry studies, foreign language teaching in colleges and universities, English teaching for forestry studies
