Use of AI to improve understanding of natural language can be approached in several ways. One obvious method is to use AI to develop more effective ways of teaching languages. This could involve developing systems that can generate tailored language learning materials based on the needs of the individual learner, providing real-time feedback on progress, and using machine learning algorithms to identify and address areas of difficulty.
Another approach is to use AI to develop better automatic translation systems. This could involve using neural networks to develop more accurate translations, or using machine learning algorithms to identify and correct errors in translations.
Finally, AI can also be used to help humans to better understand natural language. This could involve developing systems that can automatically generate summary descriptions of texts, or providing visualisations of the structure of texts. Alternatively, AI can be used to develop tools that help humans to identify patterns and trends in large collections of texts, such as social media posts or news articles.
References:
https://www.techemergence.com/machine-learning-applications-in-translation/
https://www.quora.com/What-are-the-possibilities-of-using-Artificial-Intelligence-in-language-learning
https://www.datanami.com/2019/02/25/3-ways-machine-learning-is-reshaping-language-translation/