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Lecture 1 - Introduction
CS3421: Natural Language Engineering
mary@cs.man.ac.uk
1 October 2002
Lecture 1 - Introduction
Lecture 2 - Techniques I: Probability
Lecture 3 - N-grams
Lecture 4 - Hidden Markov Models
Lecture 5 - Components of an NLP system
``Lecture'' 6 = Practical 1: Part-of-Speech Tagging
Lecture 7 - Part-of-Speech Tagging
Lecture 8 - Stemming
``Lecture'' 9 = Practical 2: Stemming
``Lecture'' 10 = Practical 3: Shallow Parsing
Lecture 11 - Efficient Parsing
Lecture 12 - Word Sense Disambiguation
Lecture 13 - Corpora and Tagsets
Lecture 14 - Lexicons
Lecture 15 - Standards
Lecture 16 - Machine Translation
``Lecture'' 17 = Practical 4: Machine Translation
Lecture 18 - Information Retrieval
Lecture 19 - Information Extraction - guest lecture by Kalina Bontcheva
Lecture 20 - Dialogue Systems
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Mary McGee Wood 2002-12-10
