CSE6390

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grades [2010/09/13 16:39] – nickgrades [2010/09/13 16:40] (current) – old revision restored nick
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 Learning objectives include: Learning objectives include:
      *  Knowledge of the terminology and concepts of computational linguistics;      *  Knowledge of the terminology and concepts of computational linguistics;
-     * Insight into the possibilities and fundamental limitations of computational +     * Insight into the possibilities and fundamental limitations of computational linguistics; 
-        linguistics; +     * Insight into the relative advantages and disadvantages of two major approaches to computational linguistics (statistical and unification-based approaches);
-     * Insight into the relative advantages and disadvantages of two major approaches to  +
-        computational linguistics (statistical and unification-based approaches);+
      * Understanding of the basic methods and techniques used in computational linguistics;      * Understanding of the basic methods and techniques used in computational linguistics;
-     * Skills in applying the basic methods and techniques to concrete problems in  +     * Skills in applying the basic methods and techniques to concrete problems in computational linguistics.
-        computational linguistics.+
  
 Classes Tues/Thurs 10:00-11:30 Ross South 104 Classes Tues/Thurs 10:00-11:30 Ross South 104
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      * Course Introduction      * Course Introduction
-     * Part l: Computational Linguistics, Language, Natural Language Processing, Theory and  +     * Part l: Computational Linguistics, Language, Natural Language Processing, Theory and Applications 
-       Applications +     * Part ll: Linguistic Background - Unification-based approach to NLP  
-Part ll: Linguistic Background - Unification-based approach to NLP  +     * Part lll: Statistical Approach to NLP - Statistical Methods in Natural Language Processing and Data Analysis 
-Part lll: Statistical Approach to NLP - Statistical Methods in Natural Language Processing and Data Analysis +     * Part IV: Course review – one day 
-Part IV: Course review – one day +     * Part V: Student Presentations 
-Part V: Student Presentations+
 Grading Grading
-The course will be graded on the basis of one minor and substantial assignment (10% and 25%), one major in-class presentation and one minor (15 min) project report (15%), and one project (50%).+ 
 +The course will be graded on the basis of one minor and substantial assignment (10% and 25%), one major in-class presentation and one minor (15 min) project report (15%), and one project (50%). Grades should follow hew distribution A (90-100); B (80-89); C (70-79); D (60-60); uh oh (below 60) 
 Class Materials Class Materials
-1. Many many class handouts. + 
-2. Copies of Chapters 1, 5 & 9 from Reference 1; Chapters 4-6 from Reference 2. +  *   1. Many many class handouts. 
-3. Copies of many many relevant papers. +  *   2. Copies of Chapters 1, 5 & 9 from Reference 1; Chapters 4-6 from Reference 2. 
-4. Many other notes.+  *   3. Copies of many many relevant papers. 
 +  *   4. Many other notes. 
 References References
-Recommended + 
-1. Manning, C.D., and Schutze, H. (1999). Foundations of Statistical Natural Language Processing, MIT Press, Cambridge, MA. +  * Recommended 
-2. Jurafsky, D., and Martin, J.H., (2000, 2nd ed 2009). Speech and Language Processing, Prentice-Hall, Upper Saddle River, New Jersey. +  *    1. Manning, C.D., and Schutze, H. (1999). Foundations of Statistical Natural Language Processing, MIT Press, Cambridge, MA. 
-Other +  *    2. Jurafsky, D., and Martin, J.H., (2000, 2nd ed 2009). Speech and Language Processing, Prentice-Hall, Upper Saddle River, New Jersey. 
-3. Charniak, E., (1993). Statistical Language Learning, MIT Press, Cambridge, MA. + 
-4. Klavans, J.L., and Resnik, P., (1996). The Balancing Act: Combining Symbolic and Statistical Approaches to Language, MIT. +  * Other 
-5. Bennett Jr., W. R., (1976). Scientific and engineering problem-solving with the computer, Prentice-Hall, Englewood Cliffs, New Jersey, Chapter 4, 103-199.+  *    3. Charniak, E., (1993). Statistical Language Learning, MIT Press, Cambridge, MA. 
 +  *    4. Klavans, J.L., and Resnik, P., (1996). The Balancing Act: Combining Symbolic and Statistical Approaches to Language, MIT. 
 +  *    5. Bennett Jr., W. R., (1976). Scientific and engineering problem-solving with the computer, Prentice-Hall, Englewood Cliffs, New Jersey, Chapter 4, 103-199.
  
  
-  * [[http://www.yorku.ca/secretariat/policies/document.php?document=87|Common Grading Scheme for Undergradate Faculties]]+  
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