Arabic computational morphology : knowledge-based and empirical methods

Author(s)

    • Soudi, Abdelhandi
    • Bosch, Antal van den
    • Neumann, Günter

Bibliographic Information

Arabic computational morphology : knowledge-based and empirical methods

edited by Abdelhadi Soudi, Antal van den Bosch, Günter Neumann

(Text, speech, and language technology, 38)

Springer, c2007

  • : hb

Available at  / 2 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

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.

Table of Contents

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

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Details

  • NCID
    BA8928555X
  • ISBN
    • 9781402060458
  • Country Code
    ne
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Dordrecht
  • Pages/Volumes
    viii, 305 p. : ill. ; 25 cm
  • Classification
  • Parent Bibliography ID
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