Hing Roberta

🚀 HingRoBERTa

HingRoBERTa is a Hindi-English code-mixed RoBERTa model trained on roman text. It offers a solution for processing code-mixed Hindi-English text in roman script, leveraging the fine - tuned xlm - RoBERTa model on L3Cube - HingCorpus.

🚀 Quick Start

HingRoBERTa is a Hindi-English code-mixed RoBERTa model trained on roman text. It is an xlm-RoBERTa model fine-tuned on L3Cube-HingCorpus.

More details on the dataset, models, and baseline results can be found in our paper.

✨ Features

• Language Support: Supports Hindi, English, and multilingual code - mixed text.
• Fine - Tuned Model: Based on xlm - RoBERTa, fine - tuned on a specific corpus for better performance.

📄 License

This project is licensed under the CC - BY - 4.0 license.

📚 Documentation

Other models from HingBERT family:

• HingBERT
• HingMBERT
• HingBERT - Mixed
• HingBERT - Mixed - v2
• HingRoBERTa
• HingRoBERTa - Mixed
• HingGPT
• HingGPT - Devanagari
• HingBERT - LID

Citation

@inproceedings{nayak-joshi-2022-l3cube,
    title = "{L}3{C}ube-{H}ing{C}orpus and {H}ing{BERT}: A Code Mixed {H}indi-{E}nglish Dataset and {BERT} Language Models",
    author = "Nayak, Ravindra  and Joshi, Raviraj",
    booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.wildre-1.2",
    pages = "7--12",
}