Overview
- The first comprehensive overview of computational approaches to Arabic morphology
- A showcase of the most advanced language technologies applied to one of the most vexing problems in linguistics
- Covers knowledge-based and empirical-based approaches, also from a broader perspective of large-scale applications
Part of the book series: Text, Speech and Language Technology (TLTB, volume 38)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Front Matter
-
Knowledge-Based Methods
-
Front Matter
-
-
Integration of Arabic Morphology in Larger Applications
-
Front Matter
-
Keywords
About this book
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).
Editors and Affiliations
Bibliographic Information
Book Title: Arabic Computational Morphology
Book Subtitle: Knowledge-based and Empirical Methods
Editors: Abdelhadi Soudi, Antal van den Bosch, Günter Neumann
Series Title: Text, Speech and Language Technology
DOI: https://doi.org/10.1007/978-1-4020-6046-5
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media B.V. 2007
Hardcover ISBN: 978-1-4020-6045-8Published: 11 September 2007
Softcover ISBN: 978-90-481-7515-4Published: 18 November 2010
eBook ISBN: 978-1-4020-6046-5Published: 01 October 2007
Series ISSN: 1386-291X
Series E-ISSN: 2542-9388
Edition Number: 1
Number of Pages: VIII, 308
Topics: Computational Linguistics, Linguistics, general, Arabic, Natural Language Processing (NLP), Semitic Languages, Information Storage and Retrieval