Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
โ Scribed by Daniel Jurafsky, James H. Martin
- Publisher
- Prentice Hall
- Year
- 2000
- Tongue
- English
- Leaves
- 1037
- Edition
- draft of October 15, 2007 (for the 2nd edition)
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
โฆ Table of Contents
1 INTRODUCTION.pdf......Page 1
2 REGULAR EXPRESSIONS.pdf......Page 20
3 WORDS &TRANSDUCERS.pdf......Page 51
4 NGRAMS.pdf......Page 93
5 WORD CLASSES AND PARTOFSPEECH TAGGING.pdf......Page 137
6 HIDDEN MARKOV AND MAXIMUM ENTROPY MODELS.pdf......Page 192
7 PHONETICS.pdf......Page 237
8 SPEECH SYNTHESIS.pdf......Page 274
9 AUTOMATIC SPEECH RECOGNITION.pdf......Page 316
10 SPEECH RECOGNITION:ADVANCED TOPICS.pdf......Page 370
11 COMPUTATIONAL PHONOLOGY.pdf......Page 404
12 FORMAL GRAMMARS OF ENGLISH.pdf......Page 431
13 PARSING WITH CONTEXT-FREE GRAMMARS.pdf......Page 476
14 STATISTICAL PARSING.pdf......Page 510
15 LANGUAGE AND COMPLEXITY.pdf......Page 543
16 FEATURES AND UNIFICATION.pdf......Page 561
17 REPRESENTING MEANING.pdf......Page 607
18 COMPUTATIONAL SEMANTICS.pdf......Page 661
19 LEXICAL SEMANTICS.pdf......Page 700
20 COMPUTATIONAL LEXICAL SEMANTICS.pdf......Page 728
21 COMPUTATIONAL DISCOURSE.pdf......Page 777
22 INFORMATION EXTRACTION.pdf......Page 825
23 QUESTION ANSWERING AND SUMMARIZATION.pdf......Page 877
24 DIALOGUE AND CONVERSATIONAL AGENTS.pdf......Page 928
25 MACHINE TRANSLATION.pdf......Page 983
๐ SIMILAR VOLUMES
<P><B></B> This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.<B></B><I>Methodology</I> boxes are included in each chapter. <B>Each chapter is built around one or more worked examples</B> to demonstra