Computational Linguistics I: Fall 2013


Jordan Boyd-Graber


iSchool at Maryland


Fall 2013


Computers have made it possible, even easy, to collect vast amounts of text from a wide variety of sources. It is not always clear, however, how to use those data and how to extract useful information from data. This problem is faced in a tremendous range of scholarly, government, business, medical, and scientific applications. The purpose of this course is to teach some of the best and most general approaches to get the most out of natural language.

Required Textbook:

No required textbook.

Link to Syllabus:


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