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courses:cs366:syllabus [2020/01/08 17:03]
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courses:cs366:syllabus [2020/01/21 15:15]
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 == Text == == Text ==
  
-  * Dan Jurafsky and James Martin, [[http://​www.cs.colorado.edu/​%7Emartin/​slp.html | Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics,​ and Speech Recognition ​ ]], Second Edition. ​Required(available in the Book Store).+  * Dan Jurafsky and James Martin, [[http://​www.cs.colorado.edu/​%7Emartin/​slp.html | Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics,​ and Speech Recognition ​ ]], Second Edition, and [[https://​web.stanford.edu/​~jurafsky/​slp3/​ | selected chapters online from the upcoming 3rd edition]].
   * We will also use [[http://​www.nltk.org/​book/​ | the online book associated with the Natural Language ToolKit (NLTK)]].   * We will also use [[http://​www.nltk.org/​book/​ | the online book associated with the Natural Language ToolKit (NLTK)]].
  
 == Other useful books and materials == == Other useful books and materials ==
- +  ​DickinsonBrewand Meuers. [[https://​www.wiley.com/en-us/Language+and+Computers-p-9781405183055 ​Language ​and Computers.]] Wiley Press
-  ​WittenI. H.Eibe, F., Hall, M.A. [[https://​www.cs.vassar.edu/~cs366/docs/Data-Mining-Weka.pdf ​Data Mining: Practical Machine Learning Tools and Techniques]], Third Edition.+
   * Manning, C. and Schütze, H.  [[https://​nlp.stanford.edu/​fsnlp/​ | Foundations of Statistical Natural Language Processing.]] MIT Press.   * Manning, C. and Schütze, H.  [[https://​nlp.stanford.edu/​fsnlp/​ | Foundations of Statistical Natural Language Processing.]] MIT Press.
 +  * Witten, I. H., Eibe, F., Hall, M.A. [[https://​www.elsevier.com/​books/​data-mining/​witten/​978-0-12-804291-5 | Data Mining: Practical Machine Learning Tools and Techniques]],​ Fourth Edition.
   * Lutz and Ascher, [[http://​shop.oreilly.com/​product/​9780596002817.do | Learning Python]], O'​Reilly.   * Lutz and Ascher, [[http://​shop.oreilly.com/​product/​9780596002817.do | Learning Python]], O'​Reilly.
  
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   * The Natural Language Toolkit--NLTK (available [[http://​nltk.org/​install | here ]]) and the NLTK data (available [[http://​nltk.org/​data | here ]]). If not already installed on your computer, you will also need to install [[http://​www.python.org/​download/​ | Python]].   * The Natural Language Toolkit--NLTK (available [[http://​nltk.org/​install | here ]]) and the NLTK data (available [[http://​nltk.org/​data | here ]]). If not already installed on your computer, you will also need to install [[http://​www.python.org/​download/​ | Python]].
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-  * Weka for machine learning, available [[ http://​sourceforge.net/​projects/​weka/​ | here ]]. 
- 
-  * (optional) the General Architecture for Text Engineering (GATE), available [[http://​gate.ac.uk|here]]. ​ 
  
 == Discussion == == Discussion ==
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 == Grades == == Grades ==
  
-Grades will be determined on the basis of performance on four assignments (40%), a final project and presentation (50%), and homework (10%). The [[courses:​cs3662020B:​schedule|Schedule of Lectures, Readings, and Assignments]] contains links to assignments,​ homework, lecture slides, and specifies due dates, etc. Information may also be disseminated via the [[https://​groups.google.com/​forum/#​!forum/​cs366-computational-linguistics-2020 | CS366 mailing list]].+Grades will be determined on the basis of performance on four assignments (40%), a final project and presentation (50%), and homework (10%). The [[https://​www.cs.vassar.edu/​~cs366/​schedule.html |Schedule of Lectures, Readings, and Assignments]] contains links to assignments,​ homework, lecture slides, etc. Information may also be disseminated via the [[https://​groups.google.com/​forum/#​!forum/​cs366-computational-linguistics-2020 | CS366 mailing list]].