Knowledge-based and Empirical Methods Soudi, Abdelhadi. creator editor. Bosch, Antal van den. editor. Neumann, Günter. editor. SpringerLink (Online service) text ne 2007 monographic eng

electronic

electronic resource

access VIII, 308 p. online resource. 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). 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. edited by Abdelhadi Soudi, Antal van den Bosch, Günter Neumann. 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 410.285 9781402060465 99781402060465 http://dx.doi.org/10.1007/978-1-4020-6046-5 http://dx.doi.org/10.1007/978-1-4020-6046-5 100301 20260521092132.0 978-1-4020-6046-5