Speech and Language Processing (3rd ed. draft)
Dan Jurafsky and James H. Martin

Here's our Feb 3, 2024 release! We also expect to release Chapter 12 soon in an updated release.

Individual chapters and updated slides are below; here is a single pdf of all the chapters in the Feb 3, 2024 release!

Feel free to use the draft chapters and slides in your classes, the resulting feedback we get from you makes the book better!
As always, typos and comments very welcome (just email slp3edbugs@gmail.com and let us know the date on the draft)! (Don't bother reporting missing refs due to cross-chapter cross-reference problems in the indvidual chapter pdfs, those are fixed in the full book draft)

We've put up a list here of the amazing people who have sent so many fantastic suggestions and bug-fixes for improving the book. We are really grateful to all of you for your help, the book would not be possible without you!

When will the whole book be finished? Don't ask.

If you need last year's Jan 2023 draft chapters, they are here;
Chapter Slides
Part I: Fundamental Algorithms
2: Regular Expressions, Text Normalization, Edit Distance 2: Text Processing [pptx] [pdf]
2: Edit Distance [pptx] [pdf]
3: N-gram Language Models 3: [pptx] [pdf]
4: Naive Bayes, Text Classification, and Sentiment 4: [pptx] [pdf]
5: Logistic Regression 5: [pptx] [pdf]
6: Vector Semantics and Embeddings 6: [pptx] [pdf]
7: Neural Networks and Neural Language Models 7: [pptx] [pdf]
8: Sequence Labeling for Parts of Speech and Named Entities 8: (Intro only) [pptx] [pdf]
9: RNNs and LSTMs
10: Transformers and Large Language Models
11: Fine-tuning and Masked Language Models
12: Prompting, In-Context Learning, and Instruct Tuning
Part II: NLP Applications
13: Machine Translation
14: Question Answering and Information Retrieval
15: Chatbots and Dialogue Systems 15 [pptx] [pdf]
16: Automatic Speech Recognition and Text-to-Speech
Part III: Annotating Linguistic Structure
17: Context-Free Grammars and Constituency Parsing
18: Dependency Parsing
19: Information Extraction: Relations, Events, and Time
20: Semantic Role Labeling and Argument Structure
21: Lexicons for Sentiment, Affect, and Connotation
22: Coreference Resolution
23: Discourse Coherence
Appendix Chapters (will be just on the web)
A: Hidden Markov Models
B: Spelling Correction and the Noisy Channel
C: Statistical Constituency Parsing
D: Context-Free Grammars
E: Combinatory Categorial Grammar
F: Logical Representations of Sentence Meaning
G: Word Senses and WordNet
H: Phonetics