A Python implementation of Farasa toolkit
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Updated
Sep 11, 2025 - Python
A Python implementation of Farasa toolkit
Neural Arabic text diacritization
Yorùbá language training text for NLP, ASR and TTS tasks
Benchmark Arabic text diacritization dataset
Extensible DL-based automatic Arabic diacritization tool allowing the restoration of different types of diacritics.
Set of tools for tokenization, transliteration and diacritic restoration of a text written in Serbian language.
Automatic Arabic diacritics restoration tool.
Arabic deep-learning based diacritization models (Shakkala, Shakkelha) ported to PyTorch
Arabic deep-learning based diacritization models (Shakkala, Shakkelha) in the ONNX format.
Course Project for Natural Language Processing
Remove diacritics (accents)
Translation-over-Diacritization technique implementation
Neural Arabic text diacritization website
Official code for "Fine-Tashkeel at KSAA-2026" — Systematic evaluation of 18 Seq2Seq, token classification, decoder LLM, and ASR models for automatic Arabic text diacritization. 5th place at KSAA-2026 Shared Task (OSACT7 @ LREC 2026).
✒ DúöScríbî allows you to convert letters with diacritics to regular, ASCII letters. 🤓
Arabic diacritization with Transformers
A personal project on diacritizing Arabic text.
Lightweight Arabic diacritization (tashkeel) — a model picker over bundled ONNX models, no PyTorch, no network
Microservices NLP — FastAPI backend with localized Qwen RAG for meter/rhyme/error detection + Gemini fallback layer. Arabic poetry structural analysis.
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