BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

Speech and Language Processing: An Introduction to Natural Language Processing,
Stock photo: cover may vary

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition Paperback - 2000

by Jurafsky, Dan; Martin, James H.; Kehler, Andrew; Linden, Keith Vander; Ward, Nigel

Add to wish list
  • Used
  • very good
  • first
Used - Very good

Description

Prentice Hall. First Edition. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Ask the seller a question Add to wish list
A$23.06
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Ships from BooksRun (Pennsylvania, United States)

Details

About BooksRun Pennsylvania, United States

Specialising in: Textbooks
Biblio member since 2016

BooksRun - best place to buy, sell or rent cheap textbooks

Terms of Sale:

30 days return guarantee. 10% restocking fee applies to discretionary returns

Browse books from BooksRun

Reader reviews for Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

From the publisher

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corporations.* Each chapter is built around one or more worked examples demonstrating the main idea of the chapter. * Uses worked examples to illustrate the relative strengths and weaknesses of various approaches. * Methodology boxes - Included in each chapter. * Introduces important methodological tools such as evaluation, wizard of oz techniques, etc. * Problem sets - Included in each chapter. * Integration of speech and text processing - Merges speech processing and natural language processing fields. * Empiricist/statistical/machine learning approaches to language processing - Covers all of the new statistical approaches, while still completely covering the earlier more structured and rule-based methods. * Includes modern rigorous evaluation metrics. * Unified and comprehensive coverage of the field - Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language. * Shows students how the same algorithm can be used for speech recognition and word-sense disambiguation. * Emphasis on Web and oth
tracking-