Evaluation Method of English-Speaking Self-Learning System Based on Natural Language Processing Technology

A novel framework that combines the power of the Bidirectional Encoder Representations from the Transformers with the Hidden Condition Random Model has the potential to greatly enhance English teaching by providing a more accurate, holistic, and data-driven approach to material assessment.

In the education, the use of advanced natural language processing techniques has gained prominence for their potential to revolutionize the teaching and learning experience. Self-learning in English teaching has become increasingly popular due to its flexibility and accessibility. With the advent of digital resources and language learning apps, students can now engage in language acquisition on their own terms. This paper presented a novel framework that combines the power of the Bidirectional E

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