000			03999nam a22005415i 4500
001			978-1-4020-6046-5
003			DE-He213
005			20251006084528.0
007			cr nn 008mamaa
008			100301s2007 ne | s |||| 0|eng d
020			_a9781402060465
020			_a99781402060465
024	7		_a10.1007/978-1-4020-6046-5 _2doi
082	0	4	_a410.285 _223
100	1		_aSoudi, Abdelhadi. _eeditor.
245	1	0	_aArabic Computational Morphology _h[electronic resource] : _bKnowledge-based and Empirical Methods / _cedited by Abdelhadi Soudi, Antal van den Bosch, Günter Neumann.
264		1	_aDordrecht : _bSpringer Netherlands, _c2007.
300			_aVIII, 308 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aText, Speech and Language Technology, _x1386-291X ; _v38
505	0		_aArabic 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.
520			_aThe 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).
650		0	_aLINGUISTICS.
650		0	_aINFORMATION STORAGE AND RETRIEVAL SYSTEMS.
650		0	_aTRANSLATORS (COMPUTER PROGRAMS).
650		0	_aARABIC LANGUAGES.
650		0	_aCOMPUTATIONAL LINGUISTICS.
650		0	_aSEMITIC LANGUAGES.
650	1	4	_aLINGUISTICS.
650	2	4	_aCOMPUTATIONAL LINGUISTICS.
650	2	4	_aARABIC.
650	2	4	_aLANGUAGE TRANSLATION AND LINGUISTICS.
650	2	4	_aSEMITIC LANGUAGES.
650	2	4	_aINFORMATION STORAGE AND RETRIEVAL.
700	1		_aBosch, Antal van den. _eeditor.
700	1		_aNeumann, Günter. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781402060458
830		0	_aText, Speech and Language Technology, _x1386-291X ; _v38
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4020-6046-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SHU
942			_2ddc _cER
999			_c61548 _d61548