English Question Library Generation Algorithm Based on Machine Learning

Feiyan Wang; Yaling Jiang

doi:10.54097/whbckw97

Authors

Feiyan Wang
Yaling Jiang

DOI:

https://doi.org/10.54097/whbckw97

Keywords:

Machine Learning, English Question Library, Teaching Resources, Artificial Intelligence.

Abstract

In English learning, the teacher wrote the text of the test source according to their own experience. To reduce the complex and repetitive tasks in teaching, teachers can focus on the preparation, teaching and response of teaching, and further improve their teaching ability. It has received the source of test questions through multiple channels and created the test library quickly and efficiently has become the fast-paced requirement of English writing. Machine learning is a mathematical training method that explores how computers mimic human writing behavior and constantly accumulate experience and improve their performance. This is one of the first and most important cases of AI. The purpose of this book is to read the problem of creating algorithms for English question libraries based on machine learning. This project focuses on the creation of machine-based English question library algorithms, hoping to use the rich information resources on the Internet, to quickly create a large test question library using machine learning technology.

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