Description: Efficient Parsing for Natural Language by Masaru Tomita Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Parsing Efficiency is crucial when building practical natural language systems. This book introduces a context-free parsing algorithm that parses natural language more efficiently than any other existing parsing algorithms in practice. Publisher Description Parsing Efficiency is crucial when building practical natural language systems. Ibis is especially the case for interactive systems such as natural language database access, interfaces to expert systems and interactive machine translation. Despite its importance, parsing efficiency has received little attention in the area of natural language processing. In the areas of compiler design and theoretical computer science, on the other hand, parsing algorithms 3 have been evaluated primarily in terms of the theoretical worst case analysis (e.g. lXn", and very few practical comparisons have been made. This book introduces a context-free parsing algorithm that parses natural language more efficiently than any other existing parsing algorithms in practice. Its feasibility for use in practical systems is being proven in its application to Japanese language interface at Carnegie Group Inc., and to the continuous speech recognition project at Carnegie-Mellon University. This work was done while I was pursuing a Ph.D degree at Carnegie-Mellon University. My advisers, Herb Simon and Jaime Carbonell, deserve many thanks for their unfailing support, advice and encouragement during my graduate studies. I would like to thank Phil Hayes and Ralph Grishman for their helpful comments and criticism that in many ways improved the quality of this book. I wish also to thank Steven Brooks for insightful comments on theoretical aspects of the book (chapter 4, appendices A, B and C), and Rich Thomason for improving the linguistic part of tile book (the very beginning of section 1.1). Details ISBN 1441951989 ISBN-13 9781441951984 Title Efficient Parsing for Natural Language Author Masaru Tomita Format Paperback Year 2010 Pages 201 Edition 1st Publisher Springer-Verlag New York Inc. GE_Item_ID:137926173; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 125.19 USD
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ISBN-13: 9781441951984
Book Title: Efficient Parsing for Natural Language
Number of Pages: Xix, 201 Pages
Language: English
Publication Name: Efficient Parsing for Natural Language : a Fast Algorithm for Practical Systems
Publisher: Springer
Publication Year: 2010
Subject: Intelligence (Ai) & Semantics, Natural Language Processing, Algebra / General, Linguistics / General, Speech & Audio Processing
Type: Textbook
Item Weight: 12.3 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Language Arts & Disciplines
Author: Masaru Tomita
Series: The Springer International Series in Engineering and Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
