Practical Skills of Business English Correspondence Writing Based on Data Mining Algorithm

Abstract

English correspondence writing has become a necessary skill for every scientific researcher and high-tech talents. An English correspondence writing auxiliary writing system can help nonnative English speakers make up for the lack of professional expression. The key factor of business English correspondence writing system is the construction of knowledge base. To improve the business English correspondence writing knowledge base, we need to mine frequent patterns of sentences in each category. The purpose of this topic is to improve and supplement the knowledge base for the business English correspondence writing system and propose frequent pattern mining for sentences in each category, so as to improve the writing knowledge base for the business English correspondence writing system. Firstly, we crawl a large number of business English letters and telegrams from the Internet, extract the relevant summary information, then store it, and preliminarily construct a corpus based on sentences. Then, we do some research on the structure of business English correspondence abstracts, mark the sentences in the corpus and count the relevant information, and have a certain understanding of their writing methods. Finally, we mine frequent patterns for sentences in each category, so as to improve the knowledge base of summary writing for the business English correspondence writing system. In the experiment, we use the classical FP growth algorithm as the mining method. The experiment shows that the frequent patterns between 3 and 6 words have been mined to a certain extent. By gradually improving the mining strategy, the quality of mining results has been improved and the writing effect of business English correspondence of scientific researchers has been improved.

Construction and Application of English teaching in vocational colleges Model under Output Orientation

“…After optimizing the "input" for the short boards and then establishing the cycle of input and output, when the input teaching is carried out for the problems, the results will be used to assess if the learning objectives are met and whether the instruction has a lasting impact on the student's ability to communicate in English at work. [13][14]. When contrasted with the conventional approach to instruction, the outputoriented teaching method is clearly more beneficial in making up for the brief board of skills and enhancing the relevance and effectiveness of teaching.…”

Correlation Analysis of English Writing Proficiency and Linguistic Logic in Colleges and Universities

“…English writing skills, as a core skill of English majors, have been the focus and difficulty of teaching, so how to improve English writing skills has become a hotspot of current research. Liu, D. and Habil, H built a corpus based on English sentences and used the FP growth algorithm as a mining algorithm to construct a writing system for assisting in writing English correspondence writing, which effectively improves college researchers' English writing [11]. Corny, J. G., and Oliveira, O. N considered English writing for multilingual authors one of the major obstacles in their careers and proposed to unite linguists and computer scientists to develop scientific writing strategies and tools [12].…”