Arabic Computational Morphology: Knowledge-based and Empirical Methods

Soudi, Abdelhadi (Editor) / van den Bosch, Antal (Editor) / Neumann, Günter (Editor)

ISBN 10: 9048175151 / ISBN 13: 9789048175154

Published by Springer Netherlands, 2007

About this Item

316 pages. 9.00x6.00x0.72 inches. In Stock.

Seller Inventory # x-9048175151

Bibliographic Details

• Title: Arabic Computational Morphology: Knowledge-based and Empirical Methods
• Publisher: Springer Netherlands
• Publication Date: 2007
• Language: English
• ISBN 10: 9048175151
• ISBN 13: 9789048175154
• Binding: Paperback
• Condition: Brand New
• Weight: 0.51 kilograms

About this title

Synopsis

This is the first comprehensive overview of computational approaches to Arabic morphology. The subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed. The book provides a showcase of the most advanced language technologies applied to one of the most vexing problems in linguistics. It covers knowledge-based and empirical-based approaches.

From the Back Cover

The morphology of Arabic poses special challenges to computational natural language processing systems. The exceptional degree of ambiguity in the writing system, the rich morphology, and the highly complex word formation process of roots and patterns all contribute to making computational approaches to Arabic very challenging. Indeed many computational linguists across the world have taken up this challenge over time, and many of the researchers with a track record in this research area have contributed to this book.

The book’s subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed. These accounts fall into two main paradigms: the knowledge-based and the empirical. Since morphological knowledge plays an essential role in any higher-level understanding and processing of Arabic text, the book also features a part on the role of Arabic morphology in larger applications, i.e. Information Retrieval (IR) and Machine Translation (MT).