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Arabic Computational Morphology

Overview of attention for book
Cover of 'Arabic Computational Morphology'

Table of Contents

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    Book Overview
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    Chapter 1 Arabic Computational Morphology: Knowledge-based and Empirical Methods
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    Chapter 2 On Arabic Transliteration
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    Chapter 3 Issues in Arabic Morphological Analysis
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    Chapter 4 A Syllable-based Account of Arabic Morphology
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    Chapter 5 Inheritance-based Approach to Arabic Verbal Root-and-Pattern Morphology
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    Chapter 6 Arabic Computational Morphology: A Trade-off Between Multiple Operations and Multiple Stems
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    Chapter 7 Grammar-Lexis Relations in the Computational Morphology of Arabic
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    Chapter 8 Learning to Identify Semitic Roots
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    Chapter 9 Automatic Processing of Modern Standard Arabic Text
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    Chapter 10 Supervised and Unsupervised Learning of Arabic Morphology
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    Chapter 11 Memory-based Morphological Analysis and Part-of-speech Tagging of Arabic
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    Chapter 12 Light Stemming for Arabic Information Retrieval
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    Chapter 13 Adapting Morphology for Arabic Information Retrieval *
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    Chapter 14 Arabic Morphological Representations for Machine Translation
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    Chapter 15 Arabic Morphological Generation and its Impact on the Quality of Machine Translation to Arabic
Attention for Chapter 8: Learning to Identify Semitic Roots
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