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

Skip to content

Automatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach

Automatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach

Automatic Ambiguity Resolution in Natural Language Processing: An Empirical
Stock photo: cover may vary

Automatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach Paperback / softback - 1996 - 1996th Edition

by Alexander Franz

Add to wish list
  • New
  • Paperback
New

Description

Paperback / softback. New. This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular.
Ask the seller a question Add to wish list
NZ$140.30
NZ$23.29 Delivery to USA
Standard delivery: 14 to 21 days
More delivery options
Ships from The Saint Bookstore (Merseyside, United Kingdom)

Details

About The Saint Bookstore Merseyside, United Kingdom

Biblio member since 2018

The Saint Bookstore specialises in hard to find titles & also offers delivery worldwide for reasonable rates.

Terms of Sale: Refunds or Returns: A full refund of the price paid will be given if returned within 30 days in undamaged condition. If the product is faulty, we may send a replacement.

Browse books from The Saint Bookstore

Reader reviews for Automatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach

From the publisher

This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years or so, a newly revived spirit has gained prominence that promises to revitalize the whole field: the spirit of empiricism.
This book introduces a new approach to the important NLP issue of automatic ambiguity resolution, based on statistical models of text. This approach is compared with previous work and proved to yield higher accuracy for natural language analysis. An effective implementation strategy is also described, which is directly useful for natural language analysis. The book is noteworthy for demonstrating a new empirical approach to NLP; it is essential reading for researchers in natural language processing or computational linguistics.
tracking-