Speech and Language Processing
(3rd ed. draft)
Dan Jurafsky and James H. Martin
2020 August: We're finally back to our regular summer writing on the textbook!
What we're busily writing right now:
We'll update them here when they are ready (hopefully right at the very end of the year), and then figure out what's next.
When will the whole book be finished? Well, this
pass will still be missing 3 chapters and some other sections,
so our current plan is late 2021.
Last year's draft status, October 16, 2019
Last fall's updates include new chapters 10, 22, 23, 27, significantly rewritten versions of Chapters 9, 19, and 26, and a pass on all the other chapters with modern updates and fixes for the many typos and suggestions from you our loyal readers!
Thanks so much to all of you for the help! We are really really grateful!!!
Individual chapters are below; here is a single pdf of all the chapters in the oct 16, 2019 draft of the book-so-far
As always, typos and comments very welcome (just email slp3edbugs@gmail.com
and let us know the date on the draft)!
And feel free to use the draft slides in your classes.
(Due to reorganizing, still expect random chapter numbers and missing latex chapter and section crossrefs in the pdfs)
| Chapter | Slides | Relation to 2nd ed. | |
| 1: | Introduction | [Ch. 1 in 2nd ed.] | |
| 2: | Regular Expressions, Text Normalization, and Edit Distance |
Text
[pptx]
[pdf]
Edit Distance
[pptx]
[pdf] |
[Ch. 2 and parts of Ch. 3 in 2nd ed.] |
| 3: | Language Modeling with N-Grams |
LM [pptx]
[pdf] |
[Ch. 4 in 2nd ed.] |
| 4: | Naive Bayes Classification and Sentiment |
NB [pptx]
[pdf] Sentiment [pptx] [pdf] |
[new in this edition] |
| 5: | Logistic Regression | ||
| 6: | Vector Semantics and Embeddings | Vector1 [pptx] [pdf] Vector2 [pptx] [pdf] | |
| 7: | Neural Nets and Neural Language Models | [new in this edition] | |
| 8: | Part-of-Speech Tagging | [Ch. 5 in 2nd ed.] | |
| 9: | Sequence Processing with Recurrent Networks | [new in this edition] | |
| 10: | Encoder-Decoder Models, Attention, and Contextual Embeddings | [new in this edition] | |
| 11: | Machine Translation | ||
| 12: | Constituency Grammars | [Ch. 12 in 2nd ed.] | |
| 13: | Constituency Parsing | [Ch. 13 in 2nd ed.] | |
| 14: | Statistical Constituency Parsing | [Ch. 14 in 2nd ed.] | |
| 15: | Dependency Parsing | [new in this edition] | |
| 16: | Logical Representations of Sentence Meaning | ||
| 17: | Computational Semantics and Semantic Parsing | ||
| 18: | Information Extraction | [Ch. 22 in 2nd ed.] | |
| 19: | Word Senses and WordNet | ||
| 20: | Semantic Role Labeling and Argument Structure | SRL [pptx] [pdf] Select [pptx] [pdf] | [expanded from parts of Ch. 19, 20 in 2nd ed] |
| 21: | Lexicons for Sentiment, Affect, and Connotation | SentLex [pptx] [pdf] | [new in this edition] |
| 22: | Coreference Resolution | [expanded from parts of Ch 21 in 2nd ed] | |
| 23: | Discourse Coherence | [expanded from parts of Ch 21 in 2nd ed] | |
| 24: | Summarization | ||
| 25: | Question Answering | [expanded from parts of Ch 23 in 2nd ed] | |
| 26: | Dialog Systems and Chatbots | Dialog [pptx] [pdf] | [expanded from Ch 24 in 2nd ed] |
| 27: | Phonetics | ||
| 28: | Speech Processing | ||
| Appendix Chapters (likely just on the web) | |||
| A: | Hidden Markov Models | ||
| B: | Spelling Correction and the Noisy Channel |