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Author:
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Stanford Engineering Everywhere

School of Engineering, Stanford University
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| Description: |
Natural Language Processing is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Christopher Manning, Associate Professor of Stanford University's Computer Science Department.
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.
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| Keywords: |
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Lexical Semantics, Tokenization, Linguistic Information, Parsing, Cocke-Kasami-Younger, Maxent Model, Machine Translation, Artificial Intelligence, Wordlevel, Statistical Models, Naive Bayes Classifiers, Probabilistic Language Models, Stanford Engineering Everywhere, Natural Language Processing
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| More information about this material: |
Primary Audience:
High School,
College General Ed,
College Lower Division,
College Upper Division,
Graduate School,
Professional
Mobile Compatibility:
Not specified at this time
Technical Requirements: Lecture videos are offered via Silverlight. Course materials in the form of .pdf files are also available for download.
Language:
English
Material Version: First Release
Cost Involved:
no
Source Code Available:
no
Accessiblity Information Available:
no
Copyright:
yes
Creative Commons:
This work is licensed under a
Attribution-NonCommercial-ShareAlike 3.0 United States
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About this material:
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Peer Reviews (not reviewed)
Workflow status (Not triaged)
Comments (none)
Learning Exercises (none)
Personal Collections (none)
Accessibility Info (none)
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