Morphology and Computation (ACL-MIT Series in Natural Language Processing) Buy on Amazon
Facebook LinkedIn

Morphology and Computation (ACL-MIT Series in Natural Language Processing)

Publisher A Bradford Book
Category Computers
48.19 60.00 -20% USD

Usually ships in 24 hours

Book Details
Author(s) Richard Sproat
Publisher A Bradford Book
ISBN / ASIN 0262193140
ISBN-13 9780262193146
Availability Usually ships in 24 hours
Sales Rank #4,724,749
Category Computers
Marketplace United States 🇺🇸
Ratings & Reviews No reviews yet — be the first!

No reviews yet.

Description

This book provides the first broad yet thorough coverage of issues in morphological theory. It includes a wide array of techniques and systems in computational morphology (including discussion of their limitations), and describes some unusual applications.Sproat motivates the study of computational morphology by arguing that a computational natural language system, such as a parser or a generator, must incorporate a model of morphology. He discusses a range of applications for programs with knowledge of morphology, some of which are not generally found in the literature. Sproat then provides an overview of some of the basic descriptive facts about morphology and issues in theoretical morphology and (lexical) phonology, as well as psycholinguistic evidence for human processing of morphological structure. He take up the basic techniques that have been proposed for doing morphological processing and discusses at length various systems (such as DECOMP and KIMMO) that incorporate part or all of those techniques, pointing out the inadequacies of such systems from both a descriptive and a computational point of view. He concludes by touching on interesting peripheral areas such as the analysis of complex nominals in English, and on the main contributions of Rumelhart and McClelland's connectionism to the computational analysis of words.

Donate to EbookNetworking
Previous Book Essential Image Processing ... Next Book Practical Network Cabling
Previous Essential Image P...
Next Practical Network...