Arabic Computational Morphology - Knowledge-based and Empirical Methods

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).

List of contents

Arabic Computational Morphology: Knowledge-based and Empirical Methods.- On Arabic Transliteration.- Issues in Arabic Morphological Analysis.- Knowledge-Based Methods.- A Syllable-based Account of Arabic Morphology.- Inheritance-based Approach to Arabic Verbal Root-and-Pattern Morphology.- Arabic Computational Morphology: A Trade-off Between Multiple Operations and Multiple Stems.- Grammar-Lexis Relations in the Computational Morphology of Arabic.- Empirical Methods.- Learning to Identify Semitic Roots.- Automatic Processing of Modern Standard Arabic Text.- Supervised and Unsupervised Learning of Arabic Morphology.- Memory-based Morphological Analysis and Part-of-speech Tagging of Arabic.- Integration of Arabic Morphology in Larger Applications.- Light Stemming for Arabic Information Retrieval.- Adapting Morphology for Arabic Information Retrieval*.- Arabic Morphological Representations for Machine Translation.- Arabic Morphological Generation and its Impact on the Quality of Machine Translation to Arabic.

Summary

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.

Product details

• Assisted by: Antal Van Den Bosch (Editor), Günter Neumann (Editor), Abdelhadi Soudi (Editor), Anta van den Bosch (Editor), Antal van den Bosch (Editor)
• Publisher: Springer Netherlands
• Languages: English
• Product format: Paperback / Softback
• Released: 20.10.2010
• EAN: 9789048175154
• ISBN: 978-90-481-7515-4
• No. of pages: 308
• Dimensions: 156 mm x 17 mm x 236 mm
• Weight: 505 g
• Illustrations: VIII, 308 p.
• Series: Text, Speech and Language Technology; Text, Speech and Language Technology
• Subjects: Humanities, art, music > Linguistics and literary studies > General and comparative linguistics; C, Linguistics, Data Warehousing, Information Retrieval, Arabic, Social Sciences, Linguistics, general, Language: reference & general, Language: history & general works, Information Storage and Retrieval, Computational Linguistics, Arabic language, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science), Oriental or Semitic Languages, Semitic Languages