Speech And Language Processing

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How to cite the book:

Daniel Jurafsky and James H. Martin. 2026. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition with Language Models, 3rd edition. Online manuscript released January 6, 2026. https://web.stanford.edu/~jurafsky/slp3.

  • A bib entry for the book is here. @Book{jm3, author = "Daniel Jurafsky and James H. Martin", title = "Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, with Language Models", year = "2026", url = {https://web.stanford.edu/~jurafsky/slp3/}, note = "Online manuscript released January 6, 2026", edition = "3rd", }
  • When will the book be finished? Don't ask.
  • If you need the previous Aug 2025 draft chapters, they are here; if you need the previous Jan 2025 draft chapters, they are here;
    Volume I: Large Language Models
    Chapter Slides
    1:Introduction
    2: Words and Tokens 2: Words and Tokens [pptx] [pdf] 2: Edit Distance [pptx] [pdf]
    3: N-gram Language Models 3: [pptx] [pdf]
    4: Logistic Regression and Text Classification 4: [pptx] [pdf]
    5: Embeddings 5: [pptx] [pdf]
    6: Neural Networks 6: [pptx] [pdf]
    7: Large Language Models 7: [pptx] [pdf]
    8: Transformers 8: [pptx] [pdf]
    9: Post-training: Instruction Tuning, Alignment, and Test-Time Compute
    10: Masked Language Models 10: [pptx] [pdf]
    11: Information Retrieval and Retrieval-Augmented Generation 11: [pptx] [pdf]
    12: Machine Translation
    13: RNNs and LSTMs 13: [pptx] [pdf]
    14: Phonetics and Speech Feature Extraction
    15: Automatic Speech Recognition
    16: Text-to-Speech
    Volume II: Annotating Linguistic Structure
    Chapter Slides
    17: Sequence Labeling for Parts of Speech and Named Entities 17: (Intro only) [pptx] [pdf]
    18: Context-Free Grammars and Constituency Parsing
    19: Dependency Parsing
    20: Information Extraction: Relations, Events, and Time
    21: Semantic Role Labeling and Argument Structure
    22: Lexicons for Sentiment, Affect, and Connotation
    23: Coreference Resolution and Entity Linking
    24: Discourse Coherence
    25: Conversation and its Structure
    Appendix (will be just on the web)
    A: Hidden Markov Models
    B: Naive Bayes Classification B: [pptx] [pdf]
    C: Kneser-Ney Smoothing
    D: Spelling Correction and the Noisy Channel
    E: Statistical Constituency Parsing
    F: Context-Free Grammars
    G: Combinatory Categorial Grammar
    H: Logical Representations of Sentence Meaning
    I: Word Senses and WordNet
    J: PPMI
    K: Frame-based Dialogue Systems

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