 Help support MIT OpenCourseWare by shopping at Amazon.com! MIT OpenCourseWare offers direct links to Amazon.com to purchase the books cited in this course. Click on the Amazon logo to the left of any citation and purchase the book from Amazon.com, and MIT OpenCourseWare will receive up to 10% of all purchases you make. Your support will enable MIT to continue offering open access to MIT courses. |
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 | |
|