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Remix and Share
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(Complete Item Description)
- Abstract:
This course is a graduate level introduction to natural language processing, the primary concern of which is the study of human language from a computational perspective. The class will cover models at the level of syntactic, semantic and discourse processing. The emphasis will be on corpus-based methods and algorithms, such as Hidden Markov Models and probabilistic context free grammars. We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization. This subject qualifies as an Artificial Intelligence and Applications concentration subject.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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MIT OpenCourseWare
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