Advanced natural language processing
Master
In Maynard (USA)
Description
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Type
Master
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Location
Maynard (USA)
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Start date
Different dates available
This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. The subject qualifies as an Artificial Intelligence and Applications concentration subject.
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Location
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Reviews
Subjects
- Computational
- Algorithms
Course programme
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.
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Advanced natural language processing