metadata
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).
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.