eliminating potential language ambiguity is one of the most important tasks in the application of Computational Linguistics and artificial intelligence education research. At present, the problem of combining pragmatics, artificial intelligence education and Computational Linguistics has not yet been solved in academia. The concept of time plays an important role in the study of Philosophy, Linguistics and even various disciplines. The author tries to sort out the existing theories of Computational Linguistics and pragmatics. In this paper, the author uses the theory and model of Computational Linguistics and pragmatics, and then experimentally analyzes the ambiguity of Russian words in temporal semantic groups. At the end of this paper, the author summarizes several principles and specific methods for eliminating language ambiguity, and the author also explains how to apply these theoretical research results to the teaching of artificial intelligence education. © 2021 IEEE.