Arabic Language Processing: From Theory to Practice

<p>Machine Translation Systems.- An Automatic Approach for WordNet Enrichment through Machine Translation.- Word Embedding-Based Approaches for Measuring Semantic Similarity of Arabic-English Sentences.- A POS-based Preordering Approach for English-to-Arabic Statistical Machine Translation.- Speech Recognition and Synthesis.- Towards high quality lemma-based Text To Speech system for the Arabic language.- Towards a universal speech recognizer for multiple languages, Using Arabic acoustic model.- A Game with a Purpose for Automatic Detection of Children's Speech Disabilities using Limited Speech Resources.- Building a Rich Arabic Speech and Language Corpus Based on the Holy Quran.- Text Categorization, Clustering and Summarization.- Combining Words and Concepts for Automatic Arabic Text Classification.- Modern Standard Arabic Readability Prediction.- Document Similarity for Arabic and Cross-Lingual.- Web Content.- Empirical Evaluation of Word Representations on Arabic Sentiment Analysis.- Extractive Arabic Text Summarization Approaches.- Information Retrieval Systems Toward a Context-aware Multilingual Personalized Search.- Fusion Based Authorship Attribution -Application of Comparison between the Quran and Hadith.- Automatic Identification of Moroccan Colloquial Arabic.- Arabic NLP Tools and Applications.-  Encoding prototype of Al-Hadith Al-Shareef in TEI.- A New Tool for Benchmarking and Assessing Arabic Syntactic Parsers.- Syntactic parsing of simple Arabic nominal sentence using the NooJ linguistic platform.</p>