TY - BOOK ID - 214040 TI - Arabic computational morphology : knowledge-based and empirical methods AU - Bosch, Antal van den AU - Neumann, Gunter. AU - Soudi, Abdelhadi. PY - 2007 VL - v. 38 SN - 1281067784 9786611067786 1402060467 1402060459 9048175151 PB - Dordrecht, The Netherlands : Springer Verlag, DB - UniCat KW - Arabic language KW - Arabic language. KW - Morphology. KW - Semitic languages KW - Computational linguistics. KW - Arabic languages. KW - Natural language processing (Computer science). KW - Semitic languages. KW - Information storage and retrieval. KW - Computational Linguistics. KW - Linguistics, general. KW - Arabic. KW - Natural Language Processing (NLP). KW - Semitic Languages. KW - Information Storage and Retrieval. KW - Automatic language processing KW - Language and languages KW - Language data processing KW - Linguistics KW - Natural language processing (Linguistics) KW - Applied linguistics KW - Cross-language information retrieval KW - Mathematical linguistics KW - Multilingual computing KW - NLP (Computer science) KW - Artificial intelligence KW - Electronic data processing KW - Human-computer interaction KW - Semantic computing KW - Afroasiatic languages KW - Data processing KW - Information storage and retrieval systems. KW - Automatic data storage KW - Automatic information retrieval KW - Automation in documentation KW - Computer-based information systems KW - Data processing systems KW - Data storage and retrieval systems KW - Discovery systems, Information KW - Information discovery systems KW - Information processing systems KW - Information retrieval systems KW - Machine data storage and retrieval KW - Mechanized information storage and retrieval systems KW - Computer systems KW - Electronic information resources KW - Data libraries KW - Digital libraries KW - Information organization KW - Information retrieval KW - Linguistics. KW - Linguistic science KW - Science of language UR - https://www.unicat.be/uniCat?func=search&query=sysid:214040 AB - 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). ER -