.
Speech and Language Processing (3rd ed. draft) |
Chapter | Slides | Relation to 2nd ed. | |
1: | Introduction | [Ch. 1 in 2nd ed.] | |
2: | Regular Expressions, Text Normalization, Edit Distance | 2: Text Processing [pptx] [pdf] 2: Edit Distance [pptx] [pdf] | [Ch. 2 and parts of Ch. 3 in 2nd ed.] |
3: | N-gram Language Models | 3: N-grams [pptx] [pdf] | [Ch. 4 in 2nd ed.] |
4: | Naive Bayes and Sentiment Classification | 4: Naive Bayes + Sentiment [pptx] [pdf] | [new in this edition] |
5: | Logistic Regression | 5: LR [pptx] [pdf] | [new in this edition] |
6: | Vector Semantics and Embeddings | 6: Vector Semantics [pptx] [pdf] | [new in this edition] |
7: | Neural Networks and Neural Language Models | 7: Neural Networks [pptx] [pdf] | [new in this edition] |
8: | Sequence Labeling for Parts of Speech and Named Entities | 8: POS/NER Intro only [pptx] [pdf] | [expanded from Ch. 5 in 2nd ed.] |
9: | Deep Learning Architectures for Sequence Processing | ||
10: | Machine Translation | [newly written for this edition, earlier MT was Ch. 25 in 2nd ed.] | |
11: | Transfer Learning with Contextual Embeddings and Pre-trained language models | [new in this edition] | |
12: | Constituency Grammars | [Ch. 12 in 2nd ed.] | |
13: | Constituency Parsing | [expanded from Ch. 13 in 2nd ed.] | |
14: | Dependency Parsing | [new in this edition] | |
15: | Logical Representations of Sentence Meaning | ||
16: | Computational Semantics and Semantic Parsing | ||
17: | Information Extraction | [Ch. 22 in 2nd ed.] | |
18: | Word Senses and WordNet | ||
19: | Semantic Role Labeling and Argument Structure | [expanded from parts of Ch. 19, 20 in 2nd ed] | |
20: | Lexicons for Sentiment, Affect, and Connotation | 20: Affect [pptx] [pdf] | [new in this edition] |
21: | Coreference Resolution | [mostly newly written; some sections expanded from parts of Ch 21 in 2nd ed] | |
22: | Discourse Coherence | [mostly new for this edition] | |
23: | Question Answering | [mostly newly written ; a few sections on classic algorithms expanded from parts of Ch 23 in 2nd ed] | |
24: | Chatbots and Dialogue Systems | 24: Dialog [pptx] [pdf] | [mostly new, parts expanded from Ch 24 in 2nd ed] |
25: | Phonetics | [Ch 7 in 2nd ed] | |
26: | Automatic Speech Recognition and Text-to-Speech | [Mostly newly written, expanded from some parts of Chs 8 and 9 in 2nd ed] | |
Appendix Chapters (will be just on the web) | |||
A: | Hidden Markov Models | ||
B: | Spelling Correction and the Noisy Channel | ||
C: | Statistical Constituency Parsing | [Ch. 14 in 2nd ed.] | |
https://web.stanford.edu/~jurafsky/slp3/
2006:
2021:
https://web.stanford.edu/~jurafsky/slp3/ed3book_sep212021.pdf
https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf