--- 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. --- ## 🎯 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. --- ## 🚀 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!* --- ## 🧠 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. --- ## 📦 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.* --- ## 📚 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. --- ## 📝 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]().* --- ## 🤝 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. --- ## 🌐 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. --- ## 🔄 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. --- **Empowering Bashkir and Turkic languages through open science and community collaboration.**
[![Hugging Face](https://img.shields.io/badge/🤗-BashkirNLP-yellow)](https://huggingface.co/BashkirNLP) [![GitHub](https://img.shields.io/badge/GitHub-Repository-black)](https://github.com/BashkirNLP) [![Twitter](https://img.shields.io/badge/Twitter-@BashkirNLP-blue)](https://twitter.com/BashkirNLP) **© 2026 BashkirNLP** – Open source for low‑resource languages.