readme: ---
  language:
  - hi
  - en
  - multilingual
  license: cc-by-4.0
  tags:
  - hi
  - en
  - codemix
  datasets:
  - L3Cube-HingCorpus
  ---
  
  ## HingBERT
  HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a base BERT model fine-tuned on L3Cube-HingCorpus.
  <br>
  [dataset link] (https://github.com/l3cube-pune/code-mixed-nlp)
  
  More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)
  
  ```
  @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",
  }
  ```