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--- |
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language: dje |
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license: cc-by-4.0 |
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tags: |
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- Principled Learning |
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- nlp |
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- low-resource |
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- pos-tagging |
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- zarma |
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- bambara |
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- dataset |
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- model |
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configs: |
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- config_name: rules |
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data_files: |
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- split: train |
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path: |
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- zarma_rules.jsonl |
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task_categories: |
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- token-classification |
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- zero-shot-classification |
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- question-answering |
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size_categories: |
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- n<1K |
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--- |
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## Description |
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This repo contains 20 grammar rules for Zarma language. The rules were create as part of the R2T project which is a proof of concept of a paradigm: Principled Learning (PrL). |
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### Citation |
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If you use this resource, please use this citation. |
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``` |
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@article{r2t2025, |
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title={R2T: A Case Study in Principled Learning for Low-Resource POS Tagging}, |
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author={Author1 and Author2 and Author3}, |
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journal={TBD}, |
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year={2025}, |
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url={TBD} |
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} |
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``` |
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### Acknowledgments |
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We thank the Zarma language community for their contributions. |
