Optimization and Evaluation of Oral English CAF Based on Artificial Intelligence and Corpus

Abstract

With the development of the times, the exchanges between countries are increasing. China is becoming a superpower, and the number of international cities is increasing. This requires the communication level of Chinese people to be improved. English, as the second largest communication language in China, should be better understood and studied. This paper makes an in-depth discussion on the optimization and evaluation of oral English CAF based on artificial intelligence and corpus and makes an experimental analysis. The results are as follows: (1) introducing oral English teaching based on artificial intelligence and oral English based on a corpus, so as to deepen the public’s cognition of both and make oral English more deeply rooted in people’s hearts and get attention. (2) Analyzing the algorithms of phoneme errors in spoken English. Errors in spoken English are very common. Algorithms can be used to identify them better. When evaluating spoken English, algorithms are needed to evaluate them more accurately. (3) There are many examples of the benefits of artificial intelligence to oral English teaching. By comparison, it is found that the method of evaluating using artificial intelligence is more accurate, a corpus can improve oral English, and CAF optimization is also of great help to oral English.