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Future of Machine Translation - 2016

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Deep Learning Courses Neural Networks Courses Computational Linguistics Courses

Course Description

Overview

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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.

Syllabus

Future (?) of Machine Translation -- KyungHyun Cho (New York University) - 2016


Taught by

Center for Language & Speech Processing(CLSP), JHU

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