Spaces:
No application file
No application file
File size: 3,198 Bytes
33b4a8e a2e2715 33b4a8e a2e2715 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | ---
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.*
|