The page numbers below refer to readings in the course textbook: Jurafsky, and Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech. Upper Saddle River, NJ: Prentice Hall, 2000. ISBN: 0130950696.

Week 1: Introduction: The NLP Enterprise, from Words to Meaning  
1 Introduction, Organization, Laboratories, Course Overview: Introduction to NLP, Main Issues, fsa's pp. 1-57; Notes 1 (PDF)
Week 2: Word Modeling: Automata and Linguistics pp. 58-90
2 Linguistics: Phonology and Morphology I, 2-Level Morphology, Kimmo Notes 2 (PDF)
3 Linguistics: Phonology and Morphology II pp. 287-321
Week 3: Word Modeling: Statistical Approaches and Part of Speech Tagging  
  No lecture pp. 235-284
4 HMM Tagging, Statistical Transformation Rule-Based Tagging, Precision, Recall, Accuracy  
Week 4: Linguistics and Grammars; Parsing Algorithms I Notes 3 (PDF)
5 Part of Speech Tagging: The Brill Tagger pp. 357-394
6 Introduction to Parsing, Linguistics: Syntax & Parsing  
Week 5: Parsing Algorithms II Notes 4 (PDF)
7 Shift-Reduce Parsers in Detail, Earley's Algorithm and Chart Parsing  
8 Context-Free Parsing and Beyond: Efficiency Issues, Feature-Based Parsing, NL System Design pp. 477-498
Week 6: Parsing Algorithms and the Lexicon  
9 Shift-Reduce Parsers in Detail, Earley's Algorithm and Chart Parsing  
10 Parsing with an Integrated Lexicon - The Question of Syntactic Features  
Week 7: Semantic Interpretation pp. 395-446; pp. 447-476
11 Semantic Interpretation I: Compositionality  
12 Semantic Interpretation II: Compositionality and Quantifiers  
Week 8: Feature Parsing; Tree Banks and Probabilistic Parsing  
13 Semantics III: Lexical Semantics  
14 Semantics IV: Lexical Semantics pp. 501-544
Week 9: Semantics II  
15 Semantics V: Constraint-Based Systems pp. 545-588
16 Semantics V: Constraint-Based Systems  
Week 10: Machine Translation I and II pp. 589-630
17 Machine Translation I  
18 Machine Translation II  
Week 11: Machine Translation III  
19 Machine Translation III pp. 631-666
Week 12: Machine Translation IV  
  Project Discussion Day  
20 Machine Translation IV pp. 799-830
Week 13: Language Learning  
21 Language Learning I  
22 Language Learning II  
Week 14: Evolutionary Models of Language Learning and Origins  
23 Computational Models of Language Change, I  
24 Computational Models of Language Change and The Origins of Language