Exploring Nihongo: A Survey on Japanese E Learning Sources

The survey explores the wealth of online resources and datasets that are necessary for data collecting, providing an in depth overview of the development of Japanese language learning systems and apps. This survey focuses on the application of machine learning and natural language processing (NLP) to simplify complex Japanese grammar patterns, improving learning outcomes for non-native speakers. Interestingly, the survey discusses these strategies' implementation not just in Japanese but also in other languages, demonstrating their versatility and promise for cross-linguistic learning platforms. The study aims to provide interpreters, translators, and Japanese language learners with a useful resource by combining information from many sources and research projects. It seeks to provide a helpful environment in which students can easily navigate the complexities of the Japanese language and interpreters and translators may use modern technologies and approaches to increase efficiency and accuracy. The research discusses how essential it is to include techniques for assessment and feedback into these systems so that learners can track their progress, get individualized feedback, and modify their learning approaches as necessary. The survey aims to enable people with different levels of proficiency to interact creatively and enrich the Japanese language through its thorough study.