Future of Machine Translation - 2016
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the future of machine translation in this thought-provoking lecture by KyungHyun Cho from New York University. Delve into the world of neural machine translation and discover why it's not just another approach to statistical machine translation, but a gateway to new opportunities in the field. Learn about three exciting prospects: sub-word-level translation, larger-context translation, and multilingual translation. Gain insights from Cho, an assistant professor of Computer Science and Data Science at NYU, whose research focuses on neural networks, generative models, and their applications to language understanding.