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README.md
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title: NumidiaNLP
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<div align="center">
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# NumidiaNLP
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### Natural Language Processing for Maghrebi Arabic
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**Models ยท
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---
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## About
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**NumidiaNLP** is a research initiative
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for **Maghrebi Arabic and North African
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Our
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code-switching.
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The objective is to develop
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- Hate and offensive language detection
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- Sentiment analysis
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##
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--
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Scientific publications and corresponding citation information will be linked
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to each released model and dataset through their individual repository cards.
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---
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<div align="center">
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### NumidiaNLP
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**Advancing reproducible NLP research for the linguistic diversity of the Maghreb.**
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Algeria ยท Morocco ยท Tunisia
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</div>
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---
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title: NumidiaNLP
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emoji: ๐
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colorFrom: red
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colorTo: yellow
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pinned: false
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---
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<div align="center">
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# NumidiaNLP
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### Natural Language Processing for Maghrebi Arabic
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**Language Models ยท Resources ยท Evaluation ยท Reproducible Research**
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</div>
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---
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## About
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**NumidiaNLP** is a research initiative dedicated to Natural Language
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Processing for **Maghrebi Arabic and North African digital language**.
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Our research focuses on the linguistic diversity observed across
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**Algeria, Morocco, and Tunisia**, including dialectal Arabic,
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non-standard orthography, **Arabizi**, and multilingual
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**code-switching**.
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The broader objective is to develop reusable language models, datasets,
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and evaluation resources for underrepresented Maghrebi language varieties.
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---
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## Research Focus
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- Maghrebi Arabic language modeling
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- Regional continued pretraining
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- Algerian, Moroccan, and Tunisian Arabic
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- Arabizi and Latin-script Maghrebi Arabic
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- ArabicโFrench and multilingual code-switching
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- Hate and offensive language detection
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- Sentiment analysis
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- Dialect identification
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- Corpus construction and annotation
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- Robust and reproducible NLP evaluation
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---
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## ๐ MagharibiBERT
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### A Regionally Adapted Language Model for Maghrebi Arabic
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**MagharibiBERT** is a regional language model developed to provide
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reusable contextual representations for heterogeneous Maghrebi Arabic.
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It is adapted through large-scale continued pretraining over diverse
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Maghrebi text representing linguistic variation from Algeria, Morocco,
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and Tunisia.
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The training resources preserve important characteristics of real-world
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Maghrebi communication, including dialectal variation, non-standard
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orthography, Arabizi, and multilingual code-switching.
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The central research question is:
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> **Can regional continued pretraining provide transferable language
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> representations across Maghrebi countries and NLP tasks?**
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๐ค **Model:**
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https://huggingface.co/NumidiaNLP/MagharibiBERT
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---
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## Regional Perspective
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Maghrebi Arabic is not treated as a single homogeneous dialect.
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Instead, we consider it a **linguistically diverse regional continuum**
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with substantial variation across countries, communities, scripts,
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platforms, and communication contexts.
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Our research therefore investigates both:
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- the value of **shared regional representations**, and
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- the complementary strengths of **country-specific models**.
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---
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## Evaluation Principles
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Our experimental methodology emphasizes:
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- fixed train/validation/test partitions;
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- multiple random seeds;
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- validation-based checkpoint selection;
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- Macro-F1 for imbalanced classification tasks;
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- comparisons with general Arabic and regional language models;
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- statistical analysis where appropriate;
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- reporting of computational requirements;
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- transparent reporting of limitations and negative results.
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The objective is not merely to obtain the highest score on one dataset,
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but to study **cross-country robustness, stability, and transferability**.
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---
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## Resources
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| Resource | Description |
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| ๐ค **MagharibiBERT** | Regional language model for Maghrebi Arabic |
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| ๐ **Models** | Maghrebi and task-adapted NLP models |
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| ๐ **Benchmarks** | Cross-country and cross-task evaluation |
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| ๐๏ธ **Datasets** | Documented Maghrebi NLP resources when licensing permits |
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---
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## Reproducible Research
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Where publication, licensing, and ethical requirements permit,
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NumidiaNLP aims to release:
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- pretrained models;
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- evaluation code;
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- benchmark configurations;
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- dataset documentation;
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- reproducible experimental protocols.
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Each released resource is accompanied by documentation describing its
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provenance, intended use, evaluation setting, and limitations.
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---
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<div align="center">
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### NumidiaNLP
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**Advancing NLP research for the linguistic diversity of the Maghreb**
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๐ฉ๐ฟ Algeria ยท ๐ฒ๐ฆ Morocco ยท ๐น๐ณ Tunisia
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</div>
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