Tracking NLP resources for Arabic 🚀

This project aims to track Natural Language Processing (NLP) resources for the Arabic language and gives an overview of the state-of-the-art (SOTA) across the most common NLP tasks and their corresponding datasets.

The idea is to track papers, datasets, pre-trained models and SOTA of each NLP task. This inventory is built with business applications in mind, the objective being to have a starting point for NLP based solutions, rather than fully focused on research.

The main goal is to provide the reader with an overview of benchmark datasets and the state-of-the-art for their task of interest, which helps building a quick proof of concept (POC) for their target application.

NLP tasks

• Automatic speech recognition
• Speaker Diarization
• Machine translation
• Question answering
• Language Modeling
• Diacritization

More tasks coming soon stay tuned ! 🤩 You are welcome to contribute to this project ! 🙏

More resources

• Arabic Natural Language Processing Workshop: WANLP 2020, WANLP 2019.

Contributing

Read our Contributing Guidelines and Code of Conduct.

Acknowledgement

This project is inspired by NLP-progress.