--- title: TatarNLPWorld - Turkic NLP & Low-Resource Languages emoji: 🦜 colorFrom: green colorTo: yellow sdk: static pinned: true license: mit --- # TatarNLPWorld – Turkic NLP & Low‑Resource Languages Research Hub ![Status](https://img.shields.io/badge/Status-Active-brightgreen) ![Focus](https://img.shields.io/badge/Focus-Tatar_Language-blue) ![Focus](https://img.shields.io/badge/Focus-Turkic_NLP-orange) ![Focus](https://img.shields.io/badge/Focus-Low_Resource_Languages-red) **TatarNLPWorld** is a collaborative research initiative dedicated to advancing natural language processing for **Tatar**, **Turkic languages**, and **low‑resource languages** in general. 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 Tatar and other Turkic languages. - Create **high‑quality linguistic resources** (corpora, lexicons, evaluation benchmarks). - Advance **machine translation** between Turkic languages and major world 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** - **[TatarGPT Playground]()** – Generate and analyze Tatar text with our latest causal LM. - **[TurkicBERT Explorer]()** – Masked language modelling for multiple Turkic languages. - **[Multilingual Embeddings]()** – Compare word/sentence vectors across Turkic languages. ### **🌐 Machine Translation** - **[Tatar ↔ Russian Translator]()** – Neural translation demo. - **[Turkic Multi-Way Translation]()** – Translate between Tatar, Kazakh, Kyrgyz, and more. - **[Low‑Resource MT Showcase]()** – See how our models perform with minimal data. ### **📚 Linguistic Tools** - **[Tatar Morphological Analyzer]()** – Interactive segmentation and POS tagging. - **[Named Entity Recognition for Tatar]()** – Identify persons, locations, organizations. - **[Turkic Language Identifier]()** – Detect which Turkic language a text is written in. ### **📊 Data & Benchmarks** - **[Tatar Corpus Explorer]()** – Browse and query our curated text collections. - **[Turkic NLP Leaderboard]()** – Compare model performance on standard tasks. - **[Annotation Tools]()** – Help us improve datasets with your feedback. *Click on any demo to start experimenting – no installation required!* --- ## 🧠 Research Focus Areas ### **🦜 Tatar Language Technologies** - Creation of the first large‑scale pretrained models for Tatar. - Morphological disambiguation and syntactic parsing. - Speech recognition and synthesis for Tatar (coming soon). ### **🌍 Turkic NLP** - Cross‑lingual transfer learning among Turkic languages. - Unified tokenization and subword models for the Turkic family. - Machine translation between Turkic languages (e.g., Tatar‑Kazakh, Tatar‑Turkish). ### **📉 Low‑Resource NLP** - Data augmentation and semi‑supervised learning techniques. - Leveraging multilingual models (e.g., mT5, XLM‑R) 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 Turkic corpora. - Efficient architectures (ALBERT, DistilBERT) for low‑resource settings. - Evaluation and bias analysis of Turkic language models. ### **📖 Linguistic Resources** - **Corpora**: News, Wikipedia, literature, web‑crawled texts. - **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 | |-----------------|-------------|------| | **TatarBERT** | BERT‑base model pretrained on 5M Tatar sentences | [🤗 Hub]() | | **Turkic‑mT5** | Multilingual T5 fine‑tuned on 10 Turkic languages | [🤗 Hub]() | | **Tatar‑MT‑TatRus** | Transformer‑based translation model (Tatar ↔ Russian) | [🤗 Hub]() | | **Tatar‑NER** | Named entity recognition model for Tatar | [🤗 Hub]() | | **TatarCorpus v1.0** | 200M token corpus from news, books, and Wikipedia | [🤗 Dataset]() | | **Turkic‑NMT‑Bench** | Parallel sentences for 5 Turkic languages | [🤗 Dataset]() | *More models and datasets are added regularly. Follow our [organization page](https://huggingface.co/TatarNLPWorld) 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 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 Tatar and Turkic languages. --- ## 📝 Selected Publications 1. *"TatarBERT: A Pretrained Language Model for the Tatar Language"* – LREC 2024 2. *"Low‑Resource Machine Translation for Turkic Languages: A Case Study on Tatar‑Russian"* – WMT 2023 3. *"Building a Named Entity Recognition Dataset for Tatar"* – TurkLang 2023 4. *"Multilingual Representations for Turkic Languages: A Comparative Study"* – EMNLP 2022 5. *"Tatar Corpus: Collection, Annotation, and Baseline Experiments"* – Dialogue 2022 *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**: [TatarNLPWorld](https://huggingface.co/TatarNLPWorld) – Models, datasets, and spaces. --- ## 🔄 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 Tatar and Turkic languages through open science and community collaboration.**
[![Hugging Face](https://img.shields.io/badge/🤗-TatarNLPWorld-yellow)](https://huggingface.co/TatarNLPWorld) [![GitHub](https://img.shields.io/badge/GitHub-Repository-black)](https://github.com/TatarNLPWorld) [![Twitter](https://img.shields.io/badge/Twitter-@TatarNLP-blue)](https://twitter.com/TatarNLP) **© 2026 TatarNLPWorld** – Open source for low‑resource languages.