Python resources

http://www.python-course.eu/index.php

Python Text Processing Course
http://www.bodenseo.com/course/python_text_processing_course.html

Demystifying Python Metaclasses
OSCON 2012 – O’Reilly Conferences, July 16 …

By Eric Wills
July 16, 2012

====================================

Python Programming Certificate
O’Reilly School of Technology

Develop or jump start your career with the Python Programming Certificate at the O’Reilly School of Technology.
Earn this Certificate of Professional Development from the University of Illinois’ Office of Continuing Education upon completion of a selected series of courses.

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The University of Texas at Austin
http://www.cs.utexas.edu/users/ai-lab

DB
https://class.stanford.edu/courses/DB/2014/SelfPaced/about
https://class.stanford.edu/courses

AI
https://www.udacity.com/course/cs271

Natural Language Technology
http://www.pce.uw.edu/certificates/natural-language-technology.html

Winter 2014/2015
https://www.lt.informatik.tu-darmstadt.de/de/teaching/lectures-and-classes/winter-term-1415/natural-language-processing-and-the-web

NLP
Fall 2014
http://www.cs.jhu.edu/~jason/465

NLP
$549
http://www.statistics.com/course-catalog/language

Natural Language Dialogue Systems
USC. 2013
http://projects.ict.usc.edu/nld/cs599s13/readings.php

NLP
IIT Bombay. 2012?
https://www.youtube.com/playlist?list=PLD392E2ACAEF0C689

Statistical NLP
2011
http://cs.nyu.edu/courses/fall11/CSCI-GA.3033-001
The Proteus Project http://nlp.cs.nyu.edu/study/index.shtml

Natural Language
Georgia Tech. Cognitive Computing Lab. 2010
http://home.cc.gatech.edu/ccl/63

NLP
NYU. 2010
http://cs.nyu.edu/courses/spring10/G22.2590-001

AI
MIT, 2010
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010

Linguistic theory: Propositional attitudes
MIT. 2009
http://ocw.mit.edu/courses/linguistics-and-philosophy/24-910-topics-in-linguistic-theory-propositional-attitudes-spring-2009

NLP
Stanford. 2008
http://see.stanford.edu/see/courseinfo.aspx?coll=63480b48-8819-4efd-8412-263f1a472f5a

Machine Learning
Andrew Ng, 2008
http://see.stanford.edu/see/lecturelist.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1

BOOK: Introduction to Information Retrieval
2008
http://www-nlp.stanford.edu/IR-book

Philosophy of Language
MIT. 2006
http://ocw.mit.edu/courses/linguistics-and-philosophy/24-251-introduction-to-philosophy-of-language-spring-2006

Phonetic realization
MIT. 2006
http://ocw.mit.edu/courses/linguistics-and-philosophy/24-964-topics-in-phonology-phonetic-realization-fall-2006

NLP
2005
http://www.youtube.com/watch?v=bDPULOFFlaI

Advanced NLP
MIT. 2005
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-864-advanced-natural-language-processing-fall-2005

Language: Semantics and Pragmatics
MIT. 2005
http://ocw.mit.edu/courses/linguistics-and-philosophy/24-903-language-and-its-structure-iii-semantics-and-pragmatics-spring-2005

Statistical NLP
2005
http://www.cs.berkeley.edu/~klein/cs294-5

Speech Communication
MIT. 2004
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-541j-speech-communication-spring-2004

Computational Models of Discourse
MIT. 2004
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-892-computational-models-of-discourse-spring-2004

Natural Language and the Computer Representation of Knowledge
MIT. 2003
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-863j-natural-language-and-the-computer-representation-of-knowledge-spring-2003

Semantics
MIT. 2002
http://ocw.mit.edu/courses/linguistics-and-philosophy/24-979-topics-in-semantics-fall-2002

https://www.youtube.com/user/mycodeschool

to learn domain-specific information
https://class.coursera.org/nlp/lecture/144
Severe imbalancing degrades classifier performance
https://class.coursera.org/nlp/lecture/33
PP attachment: attached to verb or noun?
https://class.coursera.org/nlp/lecture/48
word shapes
https://class.coursera.org/nlp/lecture/59
BI labeling (Begin, Inside)
text segmentation (question/answer)
MEMM Maximum Entropy Markov Model
beam inference
dynamic programming
Conditional Random Fields
https://class.coursera.org/nlp/lecture/133
supervised relation extraction
bag of words and bigrams (American, Airlines, American Airlines)
https://class.coursera.org/nlp/lecture/140
numerical optimization
https://class.coursera.org/nlp/lecture/150
constituency parsing
https://class.coursera.org/nlp/lecture/167
a proxy for semantics
https://class.coursera.org/nlp/lecture/173
Graph modification to facilitate semantic analysis
arcs
no longer a dependency tree
https://class.coursera.org/nlp/lecture/176
phrase query
biword index
dictionary term
positional index
proximity query
ranking retrieval system
https://class.coursera.org/nlp/lecture/182

courses
http://www.aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses

Open Health NLP
http://www.ohnlp.org

nlp123

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