Natural Language Processing
Textbook required for puchase or reference (on library reserve, Barker P98.J87 2009): Jurafsky, D. and Martin, J.H.,
Speech and Language Processing 2nd edition, Prentice-Hall: 2008.
Download slides here
Topic | Slides & Reference Readings |
Introduction: walking the walk, talking the talk | • Lecture 1 pdf slides; pdf 4-up; Jurafsky & Martin (JM), ch. 1.
• If you don't know Python, read the NLTK book, ch. 1-3; otherwise, skim NLTK book, chs 2–3.
• Background Reading (for RR 1): Jurafsky & Martin ch.4 on ngrams. (pp. 83-94; p. 114-116)
• Background Reading (for RR 1): Abney on statistics and language.
• Background Reading (for RR 1): Chomsky, Extract on grammaticality, 1955.
• (Optional) Background chapters on NLP from Russell & Norvig, ch. 22.
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RR1 discussion; Bayes' rule and smoothing; from words to parsing
| Intro to Competitive Grammar Writing
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Parts of speech, parsers, and statistical parsing; Parsing & competitive grammar writing I
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Parsing & competitive grammar writing II |
• Bring notebook computer to class (at least 1 per team)
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| Parsing & competitive grammar writing III |
• Bring notebook computer to class (at least 1 per team)
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Competitive Grammar Evaluation & Wrap-up, Grammy Awards
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Smoothing & language models | |
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Word parsing II
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Context Free parsing I
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Context-free parsing II | |
RR #2 | • No slides today
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Earley's algorithm
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Modern statistical parsers I | |
Treebank parsers II | |
Semantics I: the lambda calculus view | |
Semantics II: SQL | |
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Semantics III: Quantifiers
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Semantics IV: learning words | |
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Lexical Semantics | | |
Discourse | |
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Language Learning | |
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Language Learning & Language Change | |
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Evolution of language | |
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Evolution of language | |
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