Machine Learning for Natural Languages Processing

author: Joan Andreu Sanchez, Technical University of Valencia (UPV)
published: Aug. 5, 2010,   recorded: July 2010,   views: 495
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Description

Probabilistic Context Free Grammars (PCFG) is a powerful formalism that has been used for several applications in Computational Linguistics. One important problem of these models is the probabilistic estimation of the probabilistic part of the models. This probabilistic estimation is based on tabular algorithms similar to the CKY algorithm. We review these estimation algorithms and their properties. The use of these models for Language Modeling and Machine Translation is also introduced. Finally, an interactive-predictive framework for parsing is explained, that can be used for developing both on-line learning techniques and active learning techniques.

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Comment1 siva, August 26, 2010 at 7:27 a.m.:

videos posted here are very useful to all researchers...it will be better if download option is available...

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