TRA 301 / COS 401 / LIN 304

Introduction to Machine Translation

Srinivas Bangalore

Back to "Spring 2022" courses

This course will provide an in-depth study of Machine Translation paradigms used in state-of-the-art speech-to-speech and text-based MT systems, from computational and linguistic perspectives. Techniques for processing human languages (morphological analysis,
tagging, syntactic and semantic parsing, and language generation) will be discussed with hands-on, in-class exercises. Linguistic variation and its impact on computational models will be presented. Term projects will involve implementing speech/text translation components, identifying their limitations and suggesting improvements or any topic of relevance to language processing.

View this course on the Registrar’s website.

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