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CS
224N -- Ling 237: Natural Language Processing
Spring 2003 Course Materials |
| Handouts |
Some handouts are not available online.
Hard copies of handouts can be found
outside Gates 419 (in front of Prof Manning's room) while supplies last.
- Handout #1: Course Information (HTML)
- Handout #2: Course Syllabus (HTML)
- Handout #3: Lecture slides #1 PS PDF
- Handout #4: Lecture slides #2 PS PDF
-
Gazdar & Mellish pp. 143-155, 179-199
Tabular parsing (handwritten) - Lecture Slides (Speech Recognition) PPT
- Lecture Slides (n-gram Models) PS PDF
- Lecture Slides (Word Sense Disambiguation) PS PDF
- Unix text tools, extract from Church tutorial (see link below)
- Lecture Slides (Part of Speech Tagging 1) PS PDF
- Lecture Slides (Part of Speech Tagging 2) PS PDF
- Lecture Slides (EM, Information Extraction) PS PDF
- Lecture Slides (Information Extraction 1) PS PDF
- Lecture Slides (Information Extraction 2) PS PDF
- Lecture Slides (Discriminative Models) PDF
- Lecture Slides (PCFG's) PS PDF
- Lecture Slides (Probabilistic Parsing) PS PDF
- Lecture Slides (Computational Semantics 1) PS PDF
- Lecture Slides (Computational Semantics 2) PS PDF
- Written Homework #1: PS PDF
- Programming Project #1: PS PDF
- Written Homework #1 Solutions: PS PDF
- Written Homework #2: PS PDF
- Programming Project #2: DOC
- Written Homework #3: PS PDF
- Ken Church tutorial: Unix for poets (pdf or ps)
- What can you do with corpora using just standard Unix command line tools? Word or ps
- Extract of Tom Mitchell's Machine Learning (not available online)
- Tutorial handout: Corpora at Stanford Word or ps
- Example of the EM algorithm for determining lambda weights in a language model (spreadsheet): ComesAcrossLambdaEM.xls
-
Jason Eisner's spreadsheet on EM for HMM's, discussed in section on
April 23:
Overview Excel file - Textbook website, including in particular, the errata page
- Resources for statistical NLP
- Information Extraction links
- Machine Translation links