Part of Lecture Handouts Are list Below:

	Lecture 01	Course Overview
	Lecture 02	Mathematical Foundations
	Lecture 03	Linguistic Essentials
	Lecture 04	Vector Semantics and Embeddings
	Lecture 05	Sequence Labeling for Parts of Speech and Name Entities
	Lecture 06	Parsing with Context-Free Grammars
	Lecture 07	Machine Translation
	Lecture 08	Chatbots and Dialogue Systems
	Lecture 09	Automatic Summarization

Textbook: 

1.		D. Jurafsky and J. H. Martin, Speech and Language Processing, Prentice-Hall, (ed. 1, 2 &3).
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%