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NLP Tutorial

Mona Diab : Center for Computational Learning Systems, Columbia University

4 hour tutorial

Introduction to statistical Natural Language Processing with a special emphasis on Arabic Processing

In this tutorial, basic linguistic and probabilistic principles will be reviewed and linked together to get at the underlying notions of Statistical Natural Language Processing (NLP). Different NLP approaches will be reviewed such as rule based approaches and machine learning techniques including supervised and unsupervised methods. The approaches will be highlighted within the context of discussing a couple of NLP applications. Finally, a discussion of different approaches to Arabic Processing.

Pre-registration required by the 28th of March (by email: nlparabic@dsic.upv.es)

Registration (on site)

Download Mona Diab keynote presentation (pdf)

Download Mona Diab tutorial (part 1) (pdf)

Download Mona Diab tutorial (part 2) (pdf)