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This wiki is intended to be the new home of Language and Statistics 2, the advanced statistical NLP course taught by Prof. Noah Smith at the Language Technologies Institute, School of Computer Science, Carnegie Mellon University.

This course covers modern empirical methods in natural language processing. It is designed for language technologies students who want to understand statistical methodology in the language domain, and for machine learning students who want to know about current problems and solutions in text processing.

Students will, upon completion, understand how statistical modeling and machine learning can be applied to text, be able to develop and apply new statistical models for problems in their own research, and be able to critically read papers from the major related conferences (EMNLP and *ACL). A recurring theme will be the tradeoffs between computational cost, mathematical elegance, and applicability to real problems. The course will be organized around methods, with concrete tasks introduced throughout.

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