Arabic Computational Morphology

Knowledge-based and Empirical Methods

  • Abdelhadi Soudi
  • Antal van den Bosch
  • Günter Neumann

Part of the Text, Speech and Language Technology book series (TLTB, volume 38)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Abdelhadi Soudi, Günter Neumann, Antal van den Bosch
      Pages 3-14
    3. Nizar Habash, Abdelhadi Soudi, Timothy Buckwalter
      Pages 15-22
    4. Timothy Buckwalter
      Pages 23-41
  3. Knowledge-Based Methods

  4. Empirical Methods

    1. Front Matter
      Pages 141-141
    2. Ezra Daya, Dan Roth, Shuly Wintner
      Pages 143-158
    3. Mona Diab, Kadri Hacioglu, Daniel Jurafsky
      Pages 159-179
    4. Antal van den Bosch, Erwin Marsi, Abdelhadi Soudi
      Pages 201-217
  5. Integration of Arabic Morphology in Larger Applications

    1. Front Matter
      Pages 219-219
    2. Leah S. Larkey, Lisa Ballesteros, Margaret E. Connell
      Pages 221-243
    3. Kareem Darwish, Douglas W. Oard
      Pages 245-262
  6. Back Matter
    Pages 303-305

About this book


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).


grammar information language linguistics machine machine translation morphology natural language processing retrieval technology translation

Editors and affiliations

  • Abdelhadi Soudi
    • 1
  • Antal van den Bosch
    • 2
  • Günter Neumann
    • 3
  1. 1.Ecole Nationale de I’Industrie MinéraleRabatMorocco
  2. 2.Tilburg UniversityThe Netherlands
  3. 3.Deutsches Forschungszentrum für Künstliche IntelligenzSaarbrückenGermany

Bibliographic information

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