Abdelhadi Soudi,
Antal van den Bosch,
Günter Neumann
Springer Netherlands
0e druk, 2010
9789048175154
Arabic Computational Morphology
Knowledge-based and Empirical Methods
Specificaties
Paperback, 308 blz.
|
Engels
Springer Netherlands |
0e druk, 2010
ISBN13: 9789048175154
Rubricering
Onderdeel van serie
Text, Speech and Language Technology
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This is the first comprehensive overview of computational approaches to Arabic morphology. The subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed. The book provides a showcase of the most advanced language technologies applied to one of the most vexing problems in linguistics. It covers knowledge-based and empirical-based approaches.
Specificaties
ISBN13:9789048175154
Taal:Engels
Bindwijze:paperback
Aantal pagina's:308
Uitgever:Springer Netherlands
Druk:0
Hoofdrubriek:Woordenboeken en taal
Inhoudsopgave
Preface by Richard Sproat Part 1: Introduction:-Chapter 1: Arabic Computational Morphology, by the editors.-Chapter 2: On Arabic Transliteration, by Nizar Habash, Abdelhadi Soudi and Tim Buckwalter.-Chapter 3: Issues in Arabic Morphology Analysis, by Tim Buckwalter.-Part 2: Knowledge-based methods.-
Chapter 4: A Syllable-based Account of Arabic Morphology, by Lynne Cahill.-Chapter 5: Inheritance-based Approach to Arabic Root-and-Pattern Morphology, by Salah R. Al-Najem.-
Chapter 6: Arabic Morphology Generation, by Violetta Cavalli-Sforza and Abdelhadi Soudi.-
Chapter 7: Grammar-lexis Relations in the Computational Morphology of Arabic, by Joseph Dichy and Ali Farghaly.-Part 3: Empirical Methods:-Chapter 8: Learning to Identify Semitic Roots, by Daya Ezra, Roth Dan and Shuly Wintner.-Chapter 9: Automatic processing of Modern Standard Arabic Text, by Mona Diab, Dan Jurafsky and Kadri Hacioglu.-Chapter 10: Supervised and Unsupervised Learning of Arabic Morphology, by Alexander Clark.-Chapter 11: Memory-based Morphological Analysis and Part-of-Speech Tagging of Arabic, by Antal van den Bosch, Erwin Marsi and Abdelhadi Soudi.-Part 4: Integration of Arabic Morphology in Larger Applications:Chapter 12: Light Stemming for Arabic Information Retrieval, by Leah S. Larkey, Lisa Ballesteros and Margaret E. Connell.-Chapter 13: Adapting Morphology for Arabic Information Retrieval, by Kareem Darwish and Douglas Oard.-Chapter 14: Arabic Morphological Representations for Machine Translation, by Nizar Habash.-Chapter 15: Arabic Morphological Generation and Its Impact on the Quality of Machine Translation to Arabic, by Ahmed Guessoum and Rached Zantout.-Index
Chapter 4: A Syllable-based Account of Arabic Morphology, by Lynne Cahill.-Chapter 5: Inheritance-based Approach to Arabic Root-and-Pattern Morphology, by Salah R. Al-Najem.-
Chapter 6: Arabic Morphology Generation, by Violetta Cavalli-Sforza and Abdelhadi Soudi.-
Chapter 7: Grammar-lexis Relations in the Computational Morphology of Arabic, by Joseph Dichy and Ali Farghaly.-Part 3: Empirical Methods:-Chapter 8: Learning to Identify Semitic Roots, by Daya Ezra, Roth Dan and Shuly Wintner.-Chapter 9: Automatic processing of Modern Standard Arabic Text, by Mona Diab, Dan Jurafsky and Kadri Hacioglu.-Chapter 10: Supervised and Unsupervised Learning of Arabic Morphology, by Alexander Clark.-Chapter 11: Memory-based Morphological Analysis and Part-of-Speech Tagging of Arabic, by Antal van den Bosch, Erwin Marsi and Abdelhadi Soudi.-Part 4: Integration of Arabic Morphology in Larger Applications:Chapter 12: Light Stemming for Arabic Information Retrieval, by Leah S. Larkey, Lisa Ballesteros and Margaret E. Connell.-Chapter 13: Adapting Morphology for Arabic Information Retrieval, by Kareem Darwish and Douglas Oard.-Chapter 14: Arabic Morphological Representations for Machine Translation, by Nizar Habash.-Chapter 15: Arabic Morphological Generation and Its Impact on the Quality of Machine Translation to Arabic, by Ahmed Guessoum and Rached Zantout.-Index
