Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- ar
+base_model:
+- aubmindlab/bert-base-arabertv02
+pipeline_tag: token-classification
+---
+
+# SWEET<sub>NoPnx</sub> ZAEBUC Model
+
+## Model Description
+`CAMeL-Lab/text-editing-zaebuc-pnx` is a text editing model tailored for grammatical error correction (GEC) in Modern Standard Arabic (MSA).
+The model is based on [AraBERTv02](https://huggingface.co/aubmindlab/bert-base-arabertv02), which we fine-tuned using the [ZAEBUC](https://sites.google.com/view/zaebuc/home) dataset.
+This model was introduced in our ACL 2025 paper, [Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study](https://arxiv.org/abs/2503.00985), where we refer to it as SWEET (Subword Edit Error Tagger).
+
+The model was fine-tuned to fix non-punctuation (i.e., NoPnx) errors. Details about the training procedure, data preprocessing, and hyperparameters are available in the paper.
+The fine-tuning code and associated resources are publicly available on our GitHub repository: https://github.com/CAMeL-Lab/text-editing.
+
+
+
+## Citation
+```bibtex
+@inter{alhafni-habash-2025-enhancing,
+      title={Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study}, 
+      author={Bashar Alhafni and Nizar Habash},
+      year={2025},
+      eprint={2503.00985},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2503.00985}, 
+}
+```