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Syntactic Approaches for Natural Language Processing

Syntactic Approaches for Natural Language Processing

This video was recorded at AI Bootcamp 2011 @ AITI-KACE, Accra, Ghana. Natural Language Processing combines concepts from different research fields, like Formal Languages, Speech Recognition, Computational Linguistics and Machine Learning. This talk describes syntactic approaches to deal with Natural Language Processing problems. Hidden Markov Models and Probabilistic Context Free Grammars are usual concepts in NLP. The probabilistic estimation of these models is also described in this talk.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 8, 2015
Date Modified in MERLOT:
February 8, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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