03999nam a22005415i 4500 978-1-4020-6046-5 DE-He213 20260521092132.0 cr nn 008mamaa 100301s2007 ne | s |||| 0|eng d 9781402060465 99781402060465 10.1007/978-1-4020-6046-5 doi 410.285 23 Soudi, Abdelhadi. editor. Arabic Computational Morphology [electronic resource] : Knowledge-based and Empirical Methods / edited by Abdelhadi Soudi, Antal van den Bosch, Günter Neumann. Dordrecht : Springer Netherlands, 2007. VIII, 308 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Text, Speech and Language Technology, 1386-291X ; 38 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. 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). LINGUISTICS. INFORMATION STORAGE AND RETRIEVAL SYSTEMS. TRANSLATORS (COMPUTER PROGRAMS). ARABIC LANGUAGES. COMPUTATIONAL LINGUISTICS. SEMITIC LANGUAGES. LINGUISTICS. COMPUTATIONAL LINGUISTICS. ARABIC. LANGUAGE TRANSLATION AND LINGUISTICS. SEMITIC LANGUAGES. INFORMATION STORAGE AND RETRIEVAL. Bosch, Antal van den. editor. Neumann, Günter. editor. SpringerLink (Online service) Springer eBooks Printed edition: 9781402060458 Text, Speech and Language Technology, 1386-291X ; 38 http://dx.doi.org/10.1007/978-1-4020-6046-5 Ver el texto completo en las instalaciones del CICY ZDB-2-SHU ddc ER 37477 37477 0 0 ddc 0 0 LE CICY CICY EL 2025-10-06 0 410.285 2025-10-06 08:45:28 2025-10-06 ER