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ArabicDialectHub: A Cross-Dialectal Arabic Learning Resource and Platform

Salem Lahlou

TL;DR

ArabicDialectHub tackles the challenge of cross-dialectal Arabic learning by combining a curated phrase collection with an open-source interactive platform. The approach uses LLMs to generate initial translations, followed by validation from native speakers to produce 552 phrases across six dialects. The resource is organized by difficulty and theme and is complemented by features such as a translation hub, adaptive quizzes with intelligent distractors, progress tracking, and cultural context cards. Released under the MIT license, the platform aims to support learners and practitioners and invites community contributions.

Abstract

We present ArabicDialectHub, a cross-dialectal Arabic learning resource comprising 552 phrases across six varieties (Moroccan Darija, Lebanese, Syrian, Emirati, Saudi, and MSA) and an interactive web platform. Phrases were generated using LLMs and validated by five native speakers, stratified by difficulty, and organized thematically. The open-source platform provides translation exploration, adaptive quizzing with algorithmic distractor generation, cloud-synchronized progress tracking, and cultural context. Both the dataset and complete platform source code are released under MIT license. Platform: https://arabic-dialect-hub.netlify.app.

ArabicDialectHub: A Cross-Dialectal Arabic Learning Resource and Platform

TL;DR

ArabicDialectHub tackles the challenge of cross-dialectal Arabic learning by combining a curated phrase collection with an open-source interactive platform. The approach uses LLMs to generate initial translations, followed by validation from native speakers to produce 552 phrases across six dialects. The resource is organized by difficulty and theme and is complemented by features such as a translation hub, adaptive quizzes with intelligent distractors, progress tracking, and cultural context cards. Released under the MIT license, the platform aims to support learners and practitioners and invites community contributions.

Abstract

We present ArabicDialectHub, a cross-dialectal Arabic learning resource comprising 552 phrases across six varieties (Moroccan Darija, Lebanese, Syrian, Emirati, Saudi, and MSA) and an interactive web platform. Phrases were generated using LLMs and validated by five native speakers, stratified by difficulty, and organized thematically. The open-source platform provides translation exploration, adaptive quizzing with algorithmic distractor generation, cloud-synchronized progress tracking, and cultural context. Both the dataset and complete platform source code are released under MIT license. Platform: https://arabic-dialect-hub.netlify.app.
Paper Structure (16 sections)