Artificial Intelligence: Natural Language Processing
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- Author:
- Christopher D. Manning
- Subject:
- Mathematics and Statistics, Science and Technology
- Institution Name:
- Stanford University
- Collection:
- Stanford University - School of Engineering
- Grade Level:
- Post-secondary
- Abstract:
This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP), and to get them up to speed with current research in the area. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Wordlevel, syntactic, and semantic processing from both a linguistic and an algorithmic perspective are considered. The focus is on modern quantitative techniques in NLP: using large corpora, statistical models for acquisition, disambiguation, and parsing. Also, it examines and constructs representative systems.
- Languages:
- English
- Material Type:
- Full Course, Lecture Notes
- Media Format:
- Text/HTML, Downloadable docs
- Conditions of Use:
-
Creative Commons Attribution 3.0
- Copyright Holder:
- Stanford University
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