Instructor Dr.Farhad Oroumchian Email: foroumchian@yahoo.com
Teacher Assistant Hadi Amiri Email:amiri_eb@yahoo.com	Teacher Assistant Mostafa Keikha Email: m.keikha@ece.ut.ac.ir

Brief Outline

This subject investigates the main components of Natural Language Processing practice and research including.

• text segmentationstemming
• parsing
• ambiguity
• Machine Translation
• Text Summarization
• Information Extraction
• statistical methods of NLP

Learning Outcomes

A student who successfully completes this subject should be able to:
• Understand the conceptual underpinnings of the field of Natural Language Processing
• Understand how NLP technology is deployed in practical applications
• Gain ability to research, design, and implement NLP methods for different applications.

Recommended Text

• James Allen, Natural Language Understanding
• Slides and articles that would be uploaded in the site
• MIT Open Course. Natural Language Processing site (slides, articles etc)

Web Resources

• http://web.syr.edu/~diekemar/   Anne Diekemar’s home page
• http://www.cnlp.org/ Center for Natural Language Processing in Syracuse Unversity  
• http://web.syr.edu/~mdtaffet/Data_Mining_sites.htm Marry D. Taffet Home page for Data Mining
• http://tangra.si.umich.edu/~radev// Ass. Prof. Dargomir Radov Home page
• http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-881Fall-2004/CourseHome/index.htm  MIT Open Course: Natural Language Processing, Fall 2004