Students should have
some programming experience in a programming language
such as Scheme, Lisp, C, C++, Java, and/or Perl. 6.034 is listed as a
prerequisite
but can be waived by permission of the instructor.
The material covered in this course is selected in
such a way that at its
completion you should be able to understand current papers in the field
of
Natural Language Processing (NLP). No background in NLP is
necessary.
All lectures will be published on this page in Adobe pdf
(pdf) and postscript (ps) form; the latter two are more useful for
downloading
and printing. If you do not have Adobe Acrobat Reader for pdf files on
your
computer, you can download it from www.adobe.com
Required (available at the MIT Coop and
Quantum Books):
Jurafsky, D. and Martin, J.H.,
Speech and
Language
Processing, PrenticeHall:
2000. ISBN: 0130950696
Recommended and
Reference (on Library Reserve):
Manning, C. D. and H. Schütze:
Foundations of Statistical
Natural
Language Processing. The MIT Press. 1999. ISBN 0-262-13360-1.
Barton, E., Berwick, R., & Ristad, E.. Computational Complexity and
Natural Language: The MIT Press. 1987. ISBN 0-26-02266-4.
Allen, J.:
Natural Language Understanding. The
Benajmins/Cummings Publishing Company Inc. 1994. ISBN 0-8053-0334-0.
Brady, J & Berwick, R.:
Computational Models of Discourse.
The MIT Press, 1983. ISBN-0-262-02183-8.