Online Large-Margin Training of Syntactic and Structural Translation Features
Center for Language & Speech Processing(CLSP), JHU via YouTube
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Learn about online large-margin training methods for syntactic and structural translation features in this lecture by David Chiang from the Information Sciences Institute. Explore advanced machine translation techniques that leverage syntactic structures and large-margin learning algorithms to improve translation quality. Discover how online training approaches can be applied to complex linguistic features in statistical machine translation systems, with particular focus on incorporating syntactic information into translation models. Gain insights into the mathematical foundations of large-margin training and its practical applications in natural language processing, specifically for handling structural dependencies in translation tasks.
Syllabus
David Chiang: Online Large-Margin Training of Syntactic and Structural Translation Features
Taught by
Center for Language & Speech Processing(CLSP), JHU