| 1 |
Introduction and Overview |
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| 2 |
Basic Language Statistics; Zipf's Law |
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| 3 |
Language Models; Smoothed Estimation |
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| 4 |
Tagging; Transformation Based Learning; HMM Taggers |
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| 5 |
Maximum Entropy Tagger |
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| 6 |
Introduction to Syntax; Probabilistic Context Free Grammars |
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| 7 |
Syntactic Parsing |
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| 8 |
Introduction to EM |
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| 9 |
Unsupervised Grammar Induction |
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| 10 |
Distributional Similarity; Clustering |
Homework 1 due |
| 11 |
Distributional Similarity (cont.) |
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| 12 |
Word Sense Disambiguation; Co-training |
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| 13 |
Text Segmentation |
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| 14 |
Learning Discourse Structure |
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| 15 |
Rhetorical Parsing |
Homework 2 due |
| 16 |
Text Summarization |
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| 17 |
Text Summarization (cont.) |
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| 18 |
Midterm |
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| 19 |
Information Retrieval |
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| 20-22 |
Machine Translation |
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| 23-24 |
Project Presentations |
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