Arabic Computational Morphology
Knowledge-based and Empirical Methods
Editors: Soudi, Abdelhadi, van den Bosch, Antal, Neumann, Günter (Eds.)
- 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
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- About this book
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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).
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Arabic Computational Morphology
- Book Subtitle
- Knowledge-based and Empirical Methods
- Editors
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- Abdelhadi Soudi
- Antal van den Bosch
- Günter Neumann
- Series Title
- Text, Speech and Language Technology
- Series Volume
- 38
- Copyright
- 2007
- Publisher
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media B.V.
- eBook ISBN
- 978-1-4020-6046-5
- DOI
- 10.1007/978-1-4020-6046-5
- Hardcover ISBN
- 978-1-4020-6045-8
- Softcover ISBN
- 978-90-481-7515-4
- Series ISSN
- 1386-291X
- Edition Number
- 1
- Number of Pages
- VIII, 308
- Topics
