MultiLexNorm 2021 competition system from ÚFAL
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Updated
Dec 30, 2021 - Python
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MultiLexNorm 2021 competition system from ÚFAL
Automated pipeline for expanding medieval Latin abbreviations encoded in TEI using finetuned ByT5. Drop your TEI files, run five scripts, and get a Hugging Face dataset plus a lightweight LoRA adapter for ByT5 that turns graphemic ATR output into expanded text.
This repository contains a number of experiments with Multi Lingual Transformer models (Multi-Lingual BERT, DistilBERT, XLM-RoBERTa, mT5 and ByT5) focussed on the Dutch language.
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).
A high-performance unified Sanskrit NLP parser for Padaccheda (word segmentation), morphological analysis, lexicon lookup, Akshara breakdown, Google translate Integration, multi-script transliteration, and an embeddable web reader plugin.
UrduNexus is an AI-powered Roman Urdu to Native Urdu transliteration engine built with a fine-tuned ByT5 model, FastAPI, and Edge-TTS voice integration.
Computational analysis of Sanskrit morphology and English narrative networks in the Mahābhārata using ByT5-Sanskrit NLP
Explainable hybrid Uzbek morpheme analyzer powered by ByT5, linguistic rules, human feedback and Uzbek TTS.
Translating 4,000-year-old Old Assyrian cuneiform into English with byte-level ByT5 models — a Kaggle competition project (final private score 32.46).
Evaluate Arabic speech dictation diacritization models with KSAA 2026 results, code, and benchmarks for seq2seq and multimodal approaches
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