Courses:

Natural Language and the Computer Representation of Knowledge >> Content Detail



Study Materials



Readings

Amazon logo 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.


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

 








© 2010-2021 OpenCollege.com, All Rights Reserved.
Open College is a service mark of AmeriCareers LLC.