Topic List and Schedule
　

2/22		Course Overview & Introduction	HW-1: Chinese Input (Due 3/29)
3/1		Mathematical Foundations*
3/8		Linguistic Essentials
3/15		Part-of-Speech Tagging & Named-Entity Extraction	HW-2: Tagging (I)  (Due 3/22)
3/22		Collocations*	HW-3: Collocations  (Due 4/5)
3/29		N-gram Language Modeling*
4/5		Break
4/12		Midterm
4/19		Parsing with Context-Free Grammars (Chart Parsers)	HW-4: Tagging (II)  (Due 5/17) HW-5: Parsing       (Due 5/17)
4/26		Word Sense Disambiguation*
5/3		Paper Survey*
5/10		Parsing with Context-Free Grammars (Contd.)
5/17		Text Categorization*
5/24		Probabilistic Context-Free Grammars
5/31		Statistical Sentence Alignment and Machine Translation	HW-6: Probabilistic Parsing (Due 7/15)
6/7
6/14		FINAL

Textbook: 

1.		D. Jurafsky and J. H. Martin, Speech and Language Processing, Prentice-Hall, 2000.
2.		C. Manning and H. Schutze, Foundations of Statistical Natural Language Processing, MIT Press, 1999.

References:
  Books:

1.		J. Allen, Natural Language Understanding, Benjamin/Cummings Publishing Co, 1995.
2.		X. Huang, A. Acero, H. Hon, Spoken Language Processing, Prentice Hall, 2001.

  Papers:

 Corpora:

1.		The Association for Computational Linguistics and Chinese Language Processing

Grading:
     1. Midterm and Final: 40%
     2. Homework: 25%
     3. Project: 20%
     4. Attendance/Other: 15%