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Explore advanced machine translation techniques in this hour-long lecture from the Johns Hopkins University Summer School on Human Language Technology. Delve into sophisticated approaches to automated language translation, building upon foundational concepts to examine more complex algorithms, evaluation methods, and implementation strategies. Learn about statistical machine translation models, alignment techniques, and the challenges involved in creating systems that can accurately translate between different languages. Gain insights into the computational linguistics principles that underpin modern translation systems and understand how researchers approach the problem of bridging language barriers through technology.
Syllabus
Summer Workshop 2009: John DeNero: Machine Translation part 2
Taught by
Center for Language & Speech Processing(CLSP), JHU