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domain-classification

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Splits a parallel corpus into domains for stratified NMT training. Reads only the English side, so it works for any language pair with English on one side - the translation is carried through aligned. A pretrained classifier handles two thirds; an LLM-seeded fastText model decides the rest, with no hand-labelled training data.

  • Updated Oct 6, 2026
  • Python

Multi-task NLP system (shared XLM-RoBERTa encoder) for joint technology NER and multi-label domain classification from bilingual project descriptions. Trained end-to-end, deployed via ONNX + FastAPI.

  • Updated Jul 4, 2026
  • Jupyter Notebook

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