[34]. Furthermore, NLP is a complicated process, and accurately capturing all linguistic information is difficult. Further, the voice recognition also needs adjustments as sometimes it cannot understand heavy accents, articulation speech impediments, and soft voices. Therefore, further studies can be done to identify the solutions to the above stated problems. In addition, further research can also be done to identify the impact of AI on personalized learning, the grammar of the target language and on the proficiency of the language learnt. Moreover, a study on assessing the efficiency of AI on grading and evaluation can also be done.
AI is slowly paving its way into the sphere of academics through various technologies like Machine Learning and NLP, and it is surely going to foster the teaching and learning of second and foreign languages in the days to come.
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