Fine-tuned code-mixed models (HingBERT, HingMBERT, HingRoBERTa) reach higher F1 than multilingual BERTs and zero-shot Google Gemini on Hinglish named entity recognition.
i am borrowing ya mixing?
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Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition
Fine-tuned code-mixed models (HingBERT, HingMBERT, HingRoBERTa) reach higher F1 than multilingual BERTs and zero-shot Google Gemini on Hinglish named entity recognition.