Machine Learning has found several use cases in education applications. Specifically, Neural machine translation (NMT) systems (e.g., in educational applications) are socially significant with the potential to help make information accessible to a diverse set of users in multilingual societies. NMT systems have helped translating audio, video and textual content in vernacular languages aiding both students and teachers. However, translation of higher education/technical textbooks/courses necessitate MT systems to adhere to the lexicon of source and target domain. In this tutorial, we provide insights from our translation ecosystem (https://udaanproject.org) that has helped in translating 100s of diploma and engineering books each in more than 11 Indian languages.
Along with Prof. Ganesh Ramakrishnan, I delivered a half-day tutorial on our translation ecosystem at Education Data mining conference 2023 in IISC Bengaluru on the topic “Data Efficient Machine Learning for Educational Content Creation”. Slides coming soon !