Arabic Language Processing: From Theory to Practice: 6th International Conference, Icalp 2017, Fez, Morocco, October 11-12, 2017, Proceedings

ISBN-13: 9783319734996 / Angielski / Miękka / 2018 / 259 str.

Abdelmonaime Lachkar; Azzedine Mazroui; Abdelfettah Hamdani

Opis

This book constitutes revised selected papers from the 6th International Conference on Arabic Language Processing, ICALP 2017, held in Fez, Morocco, in October 2017. The 18 full papers presented in this volume were carefully reviewed and selected from 55 submissions.

Spis treści

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.