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| title: Ottoman Turkish NLP Suite | |
| colorFrom: indigo | |
| colorTo: red | |
| sdk: docker | |
| app_file: README.md | |
| pinned: false | |
| # Ottoman Turkish NLP Suite 📜🤖 | |
| **Bridging the gap between Ottoman Archives and Large Language Models.** | |
| ## 🌍 Mission / Misyon | |
| **Ottoman Turkish NLP Suite** is an open-science initiative dedicated to developing state-of-the-art resources for Low-Resource Historical Languages, with a specific focus on **Ottoman Turkish**. | |
| Despite the vast richness of Ottoman archives, open-source datasets and models capable of handling **Rika (handwritten)** scripts, **Matbu (printed)** texts, and accurate **Transliteration (Arabic to Latin script)** are scarce. This organization aims to fill this gap by providing: | |
| 1. **Curated Datasets:** High-quality instruction-tuning datasets extracted from archives. | |
| 2. **Fine-Tuned LLMs:** Specialized models (based on Qwen, DeepSeek, Llama) for historical text understanding. | |
| 3. **OCR/HTR Tools:** Post-processing and recognition tools for digital humanities. | |
| --- | |
| **Ottoman Turkish NLP Suite**, Osmanlı Türkçesi ve tarihsel düşük kaynaklı diller için son teknoloji yapay zeka kaynakları geliştirmeyi hedefleyen bir açık bilim inisiyatifidir. | |
| Osmanlı arşivlerinin zenginliğine rağmen, **Rika (el yazısı)**, **Matbu** metinler ve **Transkripsiyon (Arap harflerinden Latin harflerine)** konularında başarılı açık kaynak veri setleri ve modellerin eksikliği büyük bir sorundur. Bu organizasyon, aşağıdaki alanlarda üretim yaparak bu boşluğu doldurmayı amaçlar: | |
| * **Derlenmiş Veri Setleri:** Arşivlerden ve tezlerden çıkarılmış, eğitime hazır veri setleri. | |
| * **İnce Ayarlı (Fine-Tuned) LLM'ler:** Tarihsel metinleri anlamak için özelleştirilmiş modeller (Qwen, DeepSeek vb.). | |
| * **OCR/HTR Araçları:** Dijital beşeri bilimler için metin tanıma ve düzeltme araçları. | |
| ## 🚀 Key Focus Areas / Odak Alanları | |
| * **Text Transliteration:** Converting Ottoman script (Arabic alphabet) to Modern Turkish (Latin alphabet) with high accuracy. | |
| * **Historical NER (Named Entity Recognition):** Extracting entities like Place Names, Person Names from 19th and 20th-century texts. | |
| * **Semantic Search & RAG:** Building Knowledge Graphs and retrieval systems for library archives. | |
| * **OCR Correction:** Post-processing raw OCR outputs using context-aware LLMs. | |
| ## 📚 Featured Datasets / Öne Çıkan Veri Setleri | |
| * **`ottoman-place-names-gazetteer`**: A dataset of 20,000+ unique Ottoman-Turkish place name pairs derived from official state archives. Ideal for vocabulary expansion and transliteration tasks. | |
| ## 🛠 Tech Stack | |
| * **Base Models:** Qwen 2.5, DeepSeek-V3, DeepSeek-OCR | |
| * **Frameworks:** Hugging Face Transformers, Unsloth, vLLM | |
| * **Domain:** Digital Humanities, Library and Information Science (LIS) | |
| ## 👥 Lead Researcher / Araştırmacı | |
| This initiative is led by **Dr. Gökhan Usta** (Istanbul Technical University, Library and Information Science). | |
| * **Website:** [Classifyes](https://classifyes.com) | |
| * **Institution:** [Istanbul Technical University (ITU)](https://kutuphane.itu.edu.tr) | |
| --- | |
| *For collaborations, please open a discussion in the Community tab.* | |