Syntactic Approaches for Natural Language Processing
published: March 31, 2011, recorded: February 2011, views: 409
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !