000 04017nam a22005655i 4500
001 978-1-4020-6046-5
003 DE-He213
005 20161121230727.0
007 cr nn 008mamaa
008 100301s2007 ne | s |||| 0|eng d
020 _a9781402060465
_9978-1-4020-6046-5
024 7 _a10.1007/978-1-4020-6046-5
_2doi
050 4 _aP98-98.5
072 7 _aCFX
_2bicssc
072 7 _aLAN009000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a410.285
_223
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.
650 0 _aComputational linguistics.
650 0 _aArabic language.
650 0 _aSemitic languages.
650 1 4 _aLinguistics.
650 2 4 _aComputational Linguistics.
650 2 4 _aLinguistics, general.
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 _aSoudi, Abdelhadi.
_eeditor.
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
912 _aZDB-2-SHU
950 _aHumanities, Social Sciences and Law (Springer-11648)
999 _c503107
_d503107