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MaksudSharipov/
UzbekPosTagger_BERTbek

Name: UzbekPosTagger_BERTbek
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en Uzbek POS-tagger (Fine-tuned BERTbek Model)

🇺🇿 Uzbek POS-tagger (BERTbek Model asosida qurilgan)

This repository contains a Part-of-Speech (POS) Tagging model for the Uzbek language, fine-tuned from the BERTbek model by Elmurod Kuriyozov.

en Uzbek POS-tagger (Fine-tuned BERTbek Model)

🇺🇿 Uzbek POS-tagger (BERTbek Model asosida qurilgan)

This repository contains a Part-of-Speech (POS) Tagging model for the Uzbek language, fine-tuned from the BERTbek model by Elmurod Kuriyozov.

🧠 Model Overview

Model name: Uzbek POS-tagger based on BERTbek
Base model: BERTbek (news-big-cased)
Architecture: BERT (Transformer-based encoder)
Fine-tuned for: POS tagging task (token classification)
Training platform: Google Colab (NVIDIA A100 GPU)
License: CC BY-NC 4.0

📘 Dataset

Source: Manually annotated Uzbek POS-tagged dataset
Size: ~4,000 sentences (~50,000 tokens)
Tags: 16 POS tags based on the Universal Dependencies (UD) tagset
Annotation: Conducted manually by linguists for high-quality labeling

📊 Model Performance

Metric	Score
Accuracy	~91%
F1-score	~87%

🧩 Applications

Linguistic analysis of Uzbek texts
Corpus annotation
Preprocessing pipeline for downstream NLP tasks (NER, parsing, etc.)

🧑‍💻 Author & Credits

Model fine-tuning and dataset: Maksud Sharipov
Base model author: Elmurod Kuriyozov
Framework: Hugging Face Transformers

📜 License

This model is licensed under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.
You are free to use and adapt the model for non-commercial research with appropriate credit.

🗣 Citation

If you use this model in your research, please cite as:

bibtex

@misc{sharipov2025uzbekpos,
  title  = {Uzbek POS-tagger (Fine-tuned BERTbek Model)},
  author = {Maksud Sharipov},
  year   = {2025},
  howpublished = {Hugging Face},
  url    = {https://huggingface.co/MaksudSharipov/UzbekPosTagger_BERTbek}
}