Abstract
In order to explore the integration of business knowledge and English language in Business English teaching, all the writing samples from three Business English writing textbooks were collected to construct a corpus; a Business English terminology database was constructed; and a computer program was coded to automatically annotate and analyze business terms in the corpus. The results show that the corpus covers all ten disciplines of business terms under study but the distribution is obviously different. Therefore, Business English teaching text does reflect the integration of business knowledge and English language to some extent, but it mainly relates to the simple business knowledge and needs to expand substantially for Business English writing teaching.
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This work is financially supported by the National Social Science Fund (No. 13BYY097).
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Ge, S., Chen, X. (2018). A Corpus-Based Study on the Distribution of Business Terms in Business English Writing. In: Hao, T., Chen, W., Xie, H., Nadee, W., Lau, R. (eds) Emerging Technologies for Education. SETE 2018. Lecture Notes in Computer Science(), vol 11284. Springer, Cham. https://doi.org/10.1007/978-3-030-03580-8_11
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