Stock photo: cover may vary
Foundations of Statistical Natural Language Processing Hardback - 1999 - 1st Edition
by Christopher D. Manning
- Used
- Hardback
- first
A$18.17
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Standard delivery: 5 to 10 days
Dropship order
Ships from Ergodebooks (Texas, United States)
Details
- Title Foundations of Statistical Natural Language Processing
- Author Christopher D. Manning
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition Used: Good
- Pages 720
- Volumes 1
- Language ENG
- Publisher MIT Press, Cumberland, Rhode Island, U.S.A.
- Publication date 1999-06-18
- Illustrated Yes
- Bookseller's Inventory # SONG0262133601
- ISBN 9780262133609 / 0262133601
- Weight 2.98 lbs (1.35 kg)
- Dimensions 9.46 x 8.04 x 1.25 in (24.03 x 20.42 x 3.18 cm)
- Size 9.46x8.04x1.25
- Age range 18 to UP years
- Grade levels 13 - UP
- Category Language Arts / Linguistics / Literacy
- Library of Congress subjects Computational linguistics - Statistical
- Library of Congress Catalogue Number 99021137
- Dewey Decimal Code 410.285
- Quantity available 1
About Ergodebooks Texas, United States
Biblio member since 2005
Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.
We have 30 day return policy.
Reader reviews for Foundations of Statistical Natural Language Processing
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
