myX-TransStyle-W2S is a specialized Sequence-to-Sequence (Seq2Seq) model developed by Khant Sint Heinn (Kalix Louis) under DatarrX. It is specifically designed to transform formal Written Burmese (ရေးဟန်) into its natural colloquial Spoken Burmese (ပြောဟန်) counterpart. This model ensures that formal documents or news can be converted into fluid, human-like dialogue while maintaining 100% semantic integrity. — Developed by: Khant Sint Heinn (Kalix Louis) — Organization: DatarrX | ဒေတာ-အက်စ် — Model Architecture: Fine-tuned NLLB-200 (600M Distilled) with merged LoRA adapters — Language: Burmese (Myanmar) — Task: Text Style Transfer (Written → Spoken) — License: MIT — Trained on: Myanmar Written-Spoken Parallel Corpus (MWSPC) The model was trained using an efficient adaptation strategy optimized for the unique structural shifts of Myanmar style. The model was trained on 5,555 high-quality, unique parallel text pairs. This dataset provides a direct mapping from formal literary structures to their informal colloquial equivalents, filtered to ensure maximum diversity. To capture nuanced stylistic shifts without overwriting the base model’s linguistic depth, we utilized Low-Rank…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: DatarrX
Теги: m2m_100, text2text-generation, burmese, myanmar, myanmar-language, burmese-nlp, style-transfer, text-rewriting
Лайков: 3 | Загрузок: 24
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
