Topic List and Schedule

2/21		Course Overview & Introduction	HW1: Chinese Input System - List of Base Syllables - Lexicon - Text
2/28		Break
3/7		Mathematical Foundations*
3/14		Linguistic Essentials
3/21		N-gram Language Modeling*
3/28		Part-of-Speech Tagging & Named-Entity Extraction	HW2: Trace of TBL Tagging
4/4		Break
4/11		Part-of-Speech Tagging & Named-Entity Extraction
4/18		Midterm
4/25		Collocations*
5/2		Parsing with Context-Free Grammars	HW3: HMM-based Tagging
5/9		Parsing with Context-Free Grammars	HW4: Natural Language Understanding, Chapter 3, Exercise  8 & 9 (p.78)
5/16		Word Sense Disambiguation*
5/23		Break (TechSEE)
5/30		Paper Survey* Probabilistic Context-Free Grammars
6/6		Statistical Sentence Alignment and Machine Translation
6/23			Final Deadline for HW submissions

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 or Final: 25%
     2. Homework: 50%
     3. Presentation: 15%
     4. Attendance/Other: 10%