Arabic Language Processing: From Theory to Practice

8th International Conference, ICALP 2023, Rabat, Morocco, April 19-20, 2024, Proceedings, Part II
Herausgegeben:Hdioud, Boutaina; Aouragh, Si Lhoussain

• Broschiertes Buch

Produktbeschreibung

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 19-20, 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.

Produktdetails

• Communications in Computer and Information Science 2340
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-80437-3
• Seitenzahl: 268
• Erscheinungstermin: 2. Februar 2025
• Englisch
• Abmessung: 235mm x 155mm x 15mm
• Gewicht: 412g
• ISBN-13: 9783031804373
• ISBN-10: 3031804376
• Artikelnr.: 72057202

Inhaltsangabe

.- 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.