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Arabic Language Processing: From Theory to Practice

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Cover of 'Arabic Language Processing: From Theory to Practice'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Automatic Approach for WordNet Enrichment Applied to Arabic WordNet
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    Chapter 2 Word Embedding-Based Approaches for Measuring Semantic Similarity of Arabic-English Sentences
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    Chapter 3 A POS-Based Preordering Approach for English-to-Arabic Statistical Machine Translation
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    Chapter 4 Towards a High-Quality Lemma-Based Text to Speech System for the Arabic Language
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    Chapter 5 Towards a Speech Recognizer for Multiple Languages Using Arabic Acoustic Model Application to Amazigh Language
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    Chapter 6 A Game with a Purpose for Automatic Detection of Children’s Speech Disabilities Using Limited Speech Resources
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    Chapter 7 Building a Rich Arabic Speech and Language Corpus Based on the Holy Quran
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    Chapter 8 Combining Words and Concepts for Automatic Arabic Text Classification
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    Chapter 9 Modern Standard Arabic Readability Prediction
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    Chapter 10 Document Similarity for Arabic and Cross-Lingual Web Content
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    Chapter 11 Empirical Evaluation of Word Representations on Arabic Sentiment Analysis
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    Chapter 12 A Survey of Extractive Arabic Text Summarization Approaches
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    Chapter 13 Toward a Context-Aware Multilingual Personalized Search
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    Chapter 14 Fusion Based Authorship Attribution-Application of Comparison Between the Quran and Hadith
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    Chapter 15 Automatic Identification of Moroccan Colloquial Arabic
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    Chapter 16 Encoding Prototype of Al-Hadith Al-Shareef in TEI
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    Chapter 17 A New Tool for Benchmarking and Assessing Arabic Syntactic Parsers
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    Chapter 18 Syntactic Parsing of Simple Arabic Nominal Sentence Using the NooJ Linguistic Platform
Attention for Chapter 10: Document Similarity for Arabic and Cross-Lingual Web Content
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1 Mendeley
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Chapter title
Document Similarity for Arabic and Cross-Lingual Web Content
Chapter number 10
Book title
Arabic Language Processing: From Theory to Practice
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-73500-9_10
Book ISBNs
978-3-31-973499-6, 978-3-31-973500-9

Ali Salhi, Adnan H. Yahya

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Readers by discipline Count As %
Computer Science 1 100%