everything.study
9.611

Natural Language and the Computer Representation of Knowledge

3-3-6 units · Graduate

See description under subject 6.8630J.

Spring 2003

Topics

  • Introduction, Organization, Laboratories, Course Overview: Introduction to NLP, Main Issues, fsa’s
  • Linguistics: Phonology and Morphology I, 2-Level Morphology, Kimmo
  • Linguistics: Phonology and Morphology II
  • HMM Tagging, Statistical Transformation Rule-Based Tagging, Precision, Recall, Accuracy
  • Part of Speech Tagging: The Brill Tagger
  • Introduction to Parsing, Linguistics: Syntax & Parsing
  • Shift-Reduce Parsers in Detail, Earley’s Algorithm and Chart Parsing
  • Context-Free Parsing and Beyond: Efficiency Issues, Feature-Based Parsing, NL System Design
  • Parsing With an Integrated Lexicon - The Question of Syntactic Features
  • Semantic Interpretation I: Compositionality
  • Semantic Interpretation II: Compositionality and Quantifiers
  • Semantics III: Lexical Semantics
  • Semantics IV: Lexical Semantics
  • Semantics V: Constraint-Based Systems
  • Machine Translation I
  • Machine Translation II
  • Machine Translation III
  • Machine Translation IV
  • Language Learning I
  • Language Learning II
  • Computational Models of Language Change, I
  • Computational Models of Language Change and The Origins of Language

Readings

Prerequisites & course information

Same subject as 6.8630J, 24.984[J] Prereq: Permission of instructor G (Spring) Not offered regularly; consult department 3-3-6 units

Sources