Arabic Language Processing: From Theory to Practice

This two-volume set, CCIS 2339 and CCIS 2340, constitutes the refereed proceedings of the 8th International Conference on Arabic Language Processing, ICALP 2023, held in Rabat, Morocco, during April 1920, 2024.

The 30 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 107 submissions.

The papers are organized in the following topical sections:

Part I: Learning Arabic and dialectal and Sentiment Analysis; Advancements in Deep Learning for Arabic Language Processing: Generation, Translation, and QA.

Part II: Linguistic Resources for Arabic NLP; Various analysis of Arabic.

Contenu

.- Linguistic Resources for Arabic NLP.
.- CAIV: Corpus of Arabic Infinitive Verbs.
.- MAOffens: Moroccan Arabic Offensive Language Dataset.
.- Exploring the Impact of Stop Words and Particles on Arabic Word Sense Disambiguation.
.- The Contribution of Corpus Linguistics and Natural Language Processing Tools in the Development of School Lexicography.
.- Opportunities to Use Arabic YouTube Comments in Text Mining and Masked Language Modeling.
.- Arabic Dialect Audio Identification Using Wav2Vec2.
.- Corpus Analysis of Coronavirus Disease-19 (COVID-19)-Related Loneliness in Twitter.
.- Compiling a Bilingual Lexicon Using a Semi-Automatic Approach.
.- BOUTEF: Bolstering Our Understanding Through an Elaborated Fake News Corpus.
.- Various analysis of Arabic.
.- Image Generation from Arabic Text: Comparative Study of Proposed Architectures.
.- Enhancing Arabic handwritten recognition system based CNN-BLSTM using Generative Adversarial Networks.
.- An Intention-Driven Architecture for Context-Aware Systems.
.- A Review of Arabic Fake News Detection Approaches on Social Media.
.- Creating a Multilingual Dataset in Arabic and Croatian from Sports Videos through a Data Processing Pipeline Combining ASR and MT.
.- Exploring the Impact of Natural Language Processing Technologies on Academic Performance and Student Engagement in Higher Education.
.- Deep Facial Expression Recognition Using Xception Model.
.- A New Meta-heuristic OptimizationTechnique for Solving Feature Selection and Classification Problems for Arabic Text.
.- Detecting Fake News: Exploring Key Features in Multilingual Arabic Dialect Corpus.