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--- |
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configs: |
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- config_name: corpus |
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data_files: |
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- split: train |
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path: |
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- corpus/fr_dje.jsonl |
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- config_name: glossary |
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data_files: |
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- split: train |
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path: |
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- glossary/glossary.csv |
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- config_name: monolingual_zarma |
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data_files: |
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- split: train |
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path: |
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- monolingual/monolingual_zarma.jsonl |
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license: cc-by-nc-4.0 |
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task_categories: |
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- text-classification |
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- zero-shot-classification |
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- translation |
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- token-classification |
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- fill-mask |
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--- |
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# Feriji: A French-Zarma Parallel Corpus, Glossary & Translator |
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This dataset repository contains **Feriji**, the first robust French-Zarma parallel corpus and glossary designed for machine translation (MT), as introduced in the paper *"Feriji: A French-Zarma Parallel Corpus, Glossary & Translator"* published at ACL 2024 (Student Research Workshop). Zarma, a dialect of Songhay within the Nilo-Saharan language family, is spoken by over 5 million people across Niger and neighboring countries. Feriji addresses the critical need for linguistic resources for this underrepresented African language. |
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## Dataset Overview |
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The Feriji dataset includes three components: |
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- **French-Zarma Parallel Corpus**: Located in `corpus/fr_dje.csv`, this contains 61,085 sentences in Zarma and 42,789 in French, forming a robust aligned corpus for MT. |
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- **French-Zarma Glossary**: Found in `glossary/glossary.csv`, this includes 4,062 word pairs, serving as a lexical resource. |
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- **Monolingual Zarma Text**: Stored in `monolingual/monolingual_zarma.txt`, this provides additional Zarma-only text for language modeling or analysis. |
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These resources were used to fine-tune three large language models, achieving a BLEU score of 30.06 on the best-performing model, with further evaluation based on human judgments of fluency, comprehension, and readability. |
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## Repository Structure |
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- `corpus/fr_dje.csv`: Aligned French-Zarma sentence pairs. |
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- `glossary/glossary.csv`: French-Zarma word glossary. |
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- `monolingual/monolingual_zarma.txt`: Monolingual Zarma text. |
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## Acknowledgments |
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We gratefully acknowledge **the Computer Science Department of Ashesi University** for funding the annotation of the Feriji project. |
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## Paper Details |
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For full details on the creation, evaluation, and impact of Feriji, see the original paper: |
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- **Link**: [https://aclanthology.org/2024.acl-srw.1/](https://aclanthology.org/2024.acl-srw.1/) |
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- **Citation**: |
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- |
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```bibtex |
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@misc{keita2024ferijifrenchzarmaparallelcorpus, |
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title={Feriji: A French-Zarma Parallel Corpus, Glossary & Translator}, |
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author={Mamadou K. Keita and Elysabhete Amadou Ibrahim and Habibatou Abdoulaye Alfari and Christopher Homan}, |
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year={2024}, |
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eprint={2406.05888}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2406.05888}, |
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} |
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``` |
