A fine-tuned language model for automatic transliteration of Sumerian cuneiform sign sequences into scholarly Latin transliteration, trained on the SumTablets dataset. This model is intended to assist Assyriologists, digital humanities researchers, and anyone working with ancient Mesopotamian texts. > Evaluation result: 92.4% average token overlap on held-out test samples, 100% numerical marker accuracy, 100% structural tag preservation. Intended users: Assyriologists, cuneiform scholars, digital humanities researchers, historians of ancient Mesopotamia, archaeologists working with tablet corpora, and developers building tools for ancient language processing. Intended use cases: — Rapid first-pass transliteration of large tablet corpora — Assistance tool for researchers working with Cuneiform Digital Library Initiative (CDLI) data — Educational tool for students learning Sumerian — Integration into digital humanities pipelines for ancient text processing — Baseline model for further fine-tuning on specific tablet genres or periods Not intended for: Authoritative scholarly publication without expert review. This model is an assistive tool, not a replacement for trained…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: TRACCERR
Теги: gguf, cuneiform, sumerian, assyriology, ancient-languages, transliteration, dead-languages, akkadian
Лайков: 4 | Загрузок: 85
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
