Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
courses:cs366:syllabus [2018/02/14 11:52]
ide
courses:cs366:syllabus [2020/01/21 17:28]
ide
Line 1: Line 1:
-==== CS 366 Spring ​2018 Syllabus ====+==== CS 366 Spring ​2020 Syllabus ====
  
 == 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.
  
 == Software == == Software ==
  
 +In this course we will use Python, together with the Natural Language Toolkit (NLTK). It is assumed that you are either familiar with Python already, or, due to your excellent preparation in the Vassar Computer Science program, you have the ability to learn it quickly.
 You can use the computers in the Asprey Lab in the Computer Science Department, which have all of the required software already installed. If you want to use your own computer, you should install the following: You can use the computers in the Asprey Lab in the Computer Science Department, which have all of the required software already installed. If you want to use your own computer, you should install the following:
  
-  * 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]].
- +
-  * 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 ==
  
-Messages will on occasion be sent to the class'​s [[https://​groups.google.com/​forum/#​!forum/​cs366-computational-linguistics-2018 | Google Group]], which also serves as a discussion forum for questions, etc. You are responsible for checking this list for important course information.+Messages will on occasion be sent to the class'​s [[https://​groups.google.com/​forum/#​!forum/​cs366-computational-linguistics-2020 | Google Group]], which also serves as a discussion forum for questions, etc. You should rhave received an invitation to join this group in email. NOTE: You are responsible for checking this list for important course information.
  
 == Grades == == Grades ==
  
-Grades will be determined on the basis of performance on four assignments (40%), a final project and presentation (50%), and class participation ​(10%). The [[courses:cs366:schedule|Schedule of Lectures, Readings, and Assignments]] contains links to assignments,​ lecture slides, and specifies due dates, etc. Information may also be disseminated via the [[https://​groups.google.com/​forum/#​!forum/​cs366-computational-linguistics-2018 | 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]].