Speech & Language Processing

Download or Read eBook Speech & Language Processing PDF written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle.

Author	: Dan Jurafsky
Publisher	: Pearson Education India
Total Pages	: 912
Release	: 2000-09
ISBN-10	: 8131716724
ISBN-13	: 9788131716724
Rating	: 4/5 (24 Downloads)

DOWNLOAD EBOOK

Book Synopsis Speech & Language Processing by : Dan Jurafsky

Book excerpt:

Speech & Language Processing Related Books

Language: en
Pages: 912

Speech & Language Processing

Authors: Dan Jurafsky

Categories:

Type: BOOK - Published: 2000-09 - Publisher: Pearson Education India

DOWNLOAD EBOOK

Language: en
Pages: 540

Multilingual Speech Processing

Authors: Tanja Schultz

Categories: Computers

Type: BOOK - Published: 2006-06-12 - Publisher: Elsevier

DOWNLOAD EBOOK

Tanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech processing from a multilingual perspective. By taking this all-inclusive app

Language: en
Pages: 1018

Spoken Language Processing

Authors: Xuedong Huang

Categories: Computers

Type: BOOK - Published: 2001 - Publisher: Prentice Hall

DOWNLOAD EBOOK

Remarkable progress is being made in spoken language processing, but many powerful techniques have remained hidden in conference proceedings and academic papers

Language: en
Pages: 252

Corpus-Based Methods in Language and Speech Processing

Authors: Steve Young

Categories: Computers

Type: BOOK - Published: 1997-02-28 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologie

Language: en
Pages: 413

Pattern Recognition in Speech and Language Processing

Authors: Wu Chou

Categories: Technology & Engineering

Type: BOOK - Published: 2003-02-26 - Publisher: CRC Press

DOWNLOAD EBOOK

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to dat