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Browse materialsMIT 6.863J · Spring 2003

Natural Language and the Computer Representation of Knowledge

Subjects: Artificial Intelligence · Language · Science

Art: not stated, Fletcher's Combined Block Telegraph Apparatus and Bell, 1889 · Public domain

Instructor: Prof. Robert Berwick
Term: Spring 2003
Level: Graduate
What's inside: 1 lecture note · 1 reading · 84 other files · 3 web pages
Materials open: MIT OCW

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Source: MIT OpenCourseWare 6.863J Natural Language and the Computer Representation of Knowledge, Spring 2003, Prof. Robert Berwick — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

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20 files

Labs

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52 files

MIT OpenCourseWare, Prof. Robert Berwick, 6.863J Natural Language and the Computer Representation of Knowledge, Spring 2003.

License: CC BY-NC-SA 4.0 · Edition: Spring 2003 · Open the original course on OCW ↗

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Natural Language and the Computer Representation of Knowledge

Before you start

What's here, and what isn't

Not included here

Materials by section

Readings

Lecture Notes

Labs

Other materials from this course

Lecture 1: Introduction, Organization, Laboratories, Course Overview: Introduction to NLP, Main Issues, fsa’s

Lecture 2: Linguistics: Phonology and Morphology I, 2-Level Morphology, Kimmo

Lecture 3: Linguistics: Phonology and Morphology II

Lecture 4: HMM Tagging, Statistical Transformation Rule-Based Tagging, Precision, Recall, Accuracy

Lecture 5: Part of Speech Tagging: The Brill Tagger

Lecture 6: Introduction to Parsing, Linguistics: Syntax & Parsing

Lecture 7: Shift-Reduce Parsers in Detail, Earley’s Algorithm and Chart Parsing

Lecture 8: Context-Free Parsing and Beyond: Efficiency Issues, Feature-Based Parsing, NL System Design

Lecture 9: Shift-Reduce Parsers in Detail, Earley’s Algorithm and Chart Parsing

Lecture 10: Parsing With an Integrated Lexicon - The Question of Syntactic Features

Lecture 11: Semantic Interpretation I: Compositionality

Lecture 12: Semantic Interpretation II: Compositionality and Quantifiers

Lecture 13: Semantics III: Lexical Semantics

Lecture 14: Semantics IV: Lexical Semantics

Lecture 15: Semantics V: Constraint-Based Systems

Lecture 16: Semantics V: Constraint-Based Systems

Lecture 17: Machine Translation I

Lecture 18: Machine Translation II

Lecture 19: Machine Translation III

Lecture 20: Machine Translation IV

Lecture 21: Language Learning I

Lecture 22: Language Learning II

Lecture 23: Computational Models of Language Change, I

Lecture 24: Computational Models of Language Change and The Origins of Language