Artificial Intelligence for Pronunciation Improvement in Second Language Acquisition

Abstract

Along with the Improvement of technology, there are numerous possibilities that are opening up. For instance, the linguistics industry is vividly impacted by the improvement in technology. Thus, the study has aimed to analyze the importance of Artificial Intelligence for Pronunciation Improvement in Second Language Acquisition. For the study primary data was collected from a sample size of 65 and quantitative analysis was conducted. The outcome of the study showed that with reliable progress reports and a massive database of language accuracy in AI models can be achieved. The additional cost was found a major hindrance to implementing AI for natural language processing. Hence it was recommended that working on the model development's correctness is crucial to enhance pronunciation accuracy. Additionally, it would be beneficial to search for mass implications to help offset the expense.