README.md

---
title: BashkirNLP - Turkic & Low-Resource Languages
emoji: 🏔️
colorFrom: green
colorTo: blue
sdk: gradio
pinned: true
license: mit
short_description: Bashkir & Turkic NLP for low-resource languages.
sdk_version: 6.6.0
---

# BashkirNLP – Turkic & Low‑Resource Languages Research Hub

![Status](https://img.shields.io/badge/Status-Active-brightgreen)
![Focus](https://img.shields.io/badge/Focus-Bashkir_Language-blue)
![Focus](https://img.shields.io/badge/Focus-Turkic_NLP-orange)
![Focus](https://img.shields.io/badge/Focus-Low_Resource_Languages-red)

**BashkirNLP** is a collaborative research initiative dedicated to advancing natural language processing for **Bashkir**, **Turkic languages**, and **low‑resource languages** in the Ural-Volga region and beyond. We develop state‑of‑the‑art language models, machine translation systems, linguistic resources, and educational tools to empower under‑represented languages in the digital age.

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## 🎯 Our Mission

- Build **open‑source language models** for Bashkir and other Turkic varieties (Tatar, Kazakh, Chuvash, etc.).
- Create **high‑quality linguistic resources** (corpora, lexicons, evaluation benchmarks).
- Advance **machine translation** between Bashkir, Russian, English, and major Turkic languages.
- Develop **educational materials** and interactive demos to lower the entry barrier for low‑resource NLP.
- Foster a community of researchers, developers, and native speakers working together on language technology.

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## 🚀 Interactive Demos

Explore our live Hugging Face Spaces and try out our models directly in your browser:

### **🔤 Language Models**
- **[BashkirGPT Playground]()** – Generate and analyze Bashkir text with our latest causal LM.
- **[TurkicBERT Explorer]()** – Masked language modelling for Bashkir, Tatar, and other Turkic languages.
- **[Multilingual Embeddings]()** – Compare word/sentence vectors across Turkic languages.

### **🌐 Machine Translation**
- **[Bashkir ↔ Russian Translator]()** – Neural translation between Bashkir and Russian.
- **[Bashkir ↔ Tatar Translator]()** – Translation demo for closely related Turkic languages.
- **[Bashkir ↔ English Translator]()** – Experimental translation for low-resource pairs.

### **📚 Linguistic Tools**
- **[Bashkir Morphological Analyzer]()** – Interactive segmentation and POS tagging (Cyrillic & Latin scripts).
- **[Named Entity Recognition for Bashkir]()** – Identify persons, locations, organizations.
- **[Script Converter]()** – Convert between Cyrillic Bashkir and Latin-based orthographies.

### **📊 Data & Benchmarks**
- **[Bashkir Corpus Explorer]()** – Browse and query our curated text collections.
- **[Turkic NLP Leaderboard]()** – Compare model performance on Bashkir, Tatar, and other Turkic tasks.
- **[Annotation Tools]()** – Help us improve datasets with your feedback.

*Click on any demo to start experimenting – no installation required!*

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## 🧠 Research Focus Areas

### **🏞️ Bashkir Language Technologies**
- Creation of the first large‑scale pretrained models for Bashkir (Cyrillic script, with Latin adaptation).
- Morphological disambiguation and syntactic parsing for Bashkir (agglutinative morphology).
- Speech recognition and synthesis for Bashkir (coming soon).

### **📜 Turkic NLP**
- Cross‑lingual transfer learning among Bashkir, Tatar, Kazakh, and other Kipchak languages.
- Unified tokenization and subword models for the Turkic language family.
- Machine translation between Turkic languages and major world languages.

### **📉 Low‑Resource NLP**
- Data augmentation and semi‑supervised learning techniques.
- Leveraging multilingual models (e.g., mT5, XLM‑R, Turkmenglish) for under‑represented languages.
- Few‑shot and zero‑shot learning for tasks like NER and sentiment analysis.

### **🤖 Language Models**
- Pretraining from scratch and continued pretraining on Bashkir/Turkic corpora.
- Efficient architectures (ALBERT, DistilBERT) for low‑resource settings.
- Evaluation and bias analysis of Turkic language models.

### **📖 Linguistic Resources**
- **Corpora**: News, literature, web‑crawled texts, social media (e.g., VK, Telegram).
- **Lexicons**: Morphological dictionaries, wordnets, sentiment lexicons.
- **Benchmarks**: Named entity recognition, part‑of‑speech tagging, machine translation test sets.

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## 📦 Models & Datasets

We release all our models and datasets on Hugging Face Hub under open licenses.

| Model / Dataset | Description | Link |
|-----------------|-------------|------|
| **BashkirBERT** | BERT‑base model pretrained on Bashkir Cyrillic texts | [🤗 Hub]() |
| **Turkic‑mT5** | Multilingual T5 fine‑tuned on Bashkir, Tatar, and Kazakh | [🤗 Hub]() |
| **Bashkir‑MT‑BaRu** | Transformer‑based translation model (Bashkir ↔ Russian) | [🤗 Hub]() |
| **Bashkir‑NER** | Named entity recognition model for Bashkir | [🤗 Hub]() |
| **BashkirCorpus v1.0** | 100M token corpus from news, books, and websites | [🤗 Dataset]() |
| **Turkic‑Parallel‑Bench** | Parallel sentences for Bashkir, Tatar, and Turkish | [🤗 Dataset]() |

*More models and datasets are added regularly. Follow our [organization page](https://huggingface.co/BashkirNLP) for updates.*

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## 📚 Educational Resources

We believe in **open education** and **reproducible research**. All our tutorials and teaching materials are freely available.

- **[Interactive Notebooks]()** – Hands‑on tutorials for building low‑resource NLP systems (in Python, using Hugging Face libraries).
- **[Video Lectures]()** – Recorded talks on Bashkir/Turkic NLP, data collection, and model training.
- **[Course Materials]()** – Slides, readings, and assignments from our university courses.
- **[Blog Posts]()** – Deep dives into challenges and solutions for Bashkir and Turkic languages.

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## 📝 Selected Publications

1. *"BashkirBERT: A Pretrained Language Model for Bashkir"* – LREC 2025 (planned)  
2. *"Machine Translation for Low-Resource Turkic Languages: Bashkir–Russian Case Study"* – WMT 2024  
3. *"Building a Named Entity Recognition Dataset for Bashkir"* – TurkicLang 2024  
4. *"Multilingual Representations for Kipchak Languages: A Comparative Study"* – EMNLP 2023  
5. *"Bashkir Corpus: Collection, Annotation, and Baseline Experiments"* – Dialogue 2023  

*Full list with links to PDFs available on our [Publications Page]().*

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## 🤝 Get Involved

We welcome contributions from the community – whether you are a researcher, developer, student, or native speaker.

### **For Researchers**
- Use our models and datasets in your work (and cite us!).
- Collaborate on joint papers and grant proposals.
- Contribute new benchmarks or evaluation tasks.

### **For Developers**
- Integrate our models into your applications.
- Report bugs or suggest improvements via GitHub Issues.
- Submit pull requests to our open‑source repositories.

### **For Native Speakers & Linguists**
- Help us validate translations and annotations.
- Share texts or corpora (with permission) to enrich our data.
- Provide feedback on model outputs to reduce errors.

### **For Students**
- Use our demos and tutorials for learning.
- Participate in our mentorship program or summer schools.
- Start your own research project with our support.

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## 🌐 Connect With Us

- **🤗 Hugging Face**: [BashkirNLP](https://huggingface.co/BashkirNLP) – Models, datasets, and spaces.
- **💻 GitHub**: [BashkirNLP](https://github.com/BashkirNLP) – Source code, development, and issue tracking.
- **📧 Email**: [contact@bashkirnlp.org](mailto:contact@bashkirnlp.org) – General inquiries and collaboration.
- **📝 Blog**: [Medium/BashkirNLP](https://medium.com/bashkirnlp) – In‑depth articles.

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## 🔄 Ecosystem Integration

Our work is integrated with the broader Hugging Face ecosystem:

- **Models** on the Hub with easy‑to‑use pipelines.
- **Datasets** with streaming and evaluation scripts.
- **Spaces** for interactive demos and educational tools.
- **Gradio** apps for user‑friendly interfaces.

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**Empowering Bashkir and Turkic languages through open science and community collaboration.**

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**© 2026 BashkirNLP** – Open source for low‑resource languages.

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