Lectures: Two sessions / week, 1.5 hours / session
Upon completion of 6.864, students will be able to explain and apply fundamental algorithms and techniques in the area of natural language processing (NLP). In particular, students will:
MIT courses 6.034 and 6.046J, or permission of instructor
Suggested textbooks for the course are:
Jurafsky, David, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition. Upper Saddle River, NJ: Prentice-Hall, 2000. ISBN: 0130950696.
Manning, Christopher D., and Hinrich Schütze. Foundations of Statistical Natural Language Processing. Cambridge, MA: MIT Press, 1999. ISBN: 0262133601.
Students completing 6.864 will have demonstrated an ability to:
Everything you do for credit in this subject is supposed to be your own work. You can talk to other students (and instructors) about approaches to problems, but then you should sit down and do the problem yourself. This is not only the ethical way but also the only effective way of learning the material.