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