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Machine Translation - 2009

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

Tags

Computational Linguistics Courses Language Models Courses

Course Description

Overview

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Explore the fundamentals of machine translation in this comprehensive lecture delivered by John DeNero from UC Berkeley in 2009 at the Center for Language & Speech Processing (CLSP) at Johns Hopkins University. Delve into the core concepts, methodologies, and challenges associated with automated language translation systems. Learn about statistical approaches, linguistic models, and algorithmic techniques used in developing effective machine translation tools. Gain insights into the historical context, current state-of-the-art technologies, and future directions in the field of machine translation. This hour-long presentation offers a valuable introduction for students, researchers, and professionals interested in natural language processing and computational linguistics.

Syllabus

Machine Translation - John DeNero (UCBerkeley) - 2009


Taught by

Center for Language & Speech Processing(CLSP), JHU

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