This course covers basic Natural Language Processing concepts. Topics include: language modeling, spelling correction, sentiment analysis, parsing, text classification, information retrieval, ... etc. We will closely follow Coursera's two NLP classes by Jurafsky and Manning, as well as by Collins.

• Speech and Language Processing (Second Edition). Daniel Jurafsky and James Martin.
• Foundations of Statistical Natural Language Processing. Christopher Manning and Hinrich Schuetze.
  

Date	Topic	Slides	Homework
Thursday 14 Feb. 2013	Introduction	(pdf)
Thursday 21 Feb. 2013	Basic Text Processing	(pdf)	HW#1
	Language Modeling	(pdf)
Thursday 28 Feb. 2013	Spelling Correction	(pdf)	HW#2
Thursday 7 Mar. 2013	Spelling Correction (cont.)
	Text Classification	(pdf)	HW#3
Thursday 14 Mar. 2013	Sentiment Analysis	(pdf)	HW#4
Thursday 21 Mar. 2013	Maximum Entropy Classifiers	(pdf)	HW#5
	Named Entity Recognition	(pdf)
Thursday 28 Mar. 2013	Midterm
Thursday 4 Apr. 2013	CFGs and PCFGs	(pdf)	HW#6
Thursday 11 Apr. 2013	CKY Parser	(pdf)	HW#7
	Lexicalized Parsers	(pdf)
Thursday 18 Apr. 2013	Information Retrieval	(pdf)
Thursday 25 Apr. 2013	Ranked Information Retrieval	(pdf)	HW#8
	Introduction to Machine Translation	(pdf)
Thursday 2 May 2013	IBM Translation Models	(pdf)	HW#9
Thursday 9 May 2013	Break
Thursday 16 May 2013	Phrase-Based Translation	(pdf)

• Lecture 0: Introduction (pdf)
• Lecture 1: Basic Text Processing (pdf)
• Lecture 2: Language Modeling (pdf)
• Lecture 3: Spelling Correction (pdf)
• Lecture 4: Text Classification (pdf)
• Lecture 5: Sentiment Analysis (pdf) 
• Lecture 6: Maximum Entropy Classifiers (pdf)
• Lecture 7: Named Entity Recognition (pdf)
• Lecture 8: CFGs and PCFGs (pdf) 
• Lecture 9: CKY Parser (pdf) 
• Lecture 10: Lexicalized Parsers (pdf)
• Lecture 11: Information Retrieval (pdf)
• Lecture 12: Ranked Information Retrieval (pdf)
• Lecture 13: Introduction to Machine Translation (pdf)
• Lecture 14: IBM Translation Models (pdf)
• Lecture 15: Phrase-Based Translation (pdf)
  

Assignments

• Homework 1: Spamlord (pdf) (data)
• Homework 2: Autocorrect (pdf) (data)
• Homework 3: Sentiment (pdf) (data)
• Homework 4: Sentiment 2 (pdf)
• Homework 5: NER (pdf) (data)
• Homework 6: PCFG (pdf) (data)
• Homework 7: CKY Parsing (pdf) (data)
• Homework 8: IR (pdf) (data)
• Homework 9: MT (pdf) (data)