README.md

metadata

license: cc-by-4.0
language:
  - en
task_categories:
  - token-classification
size_categories:
  - 10M<n<100M

This is the training dataset used to train the first version of the SpellMapper model. It consists of 33'547'074 training examples. Actually, this checkpoint was trained only 1/3 of the full dataset.

Paper: SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings

Citation

    @misc{antonova2023spellmapper,
      title={SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings}, 
      author={Alexandra Antonova and Evelina Bakhturina and Boris Ginsburg},
      year={2023},
      eprint={2306.02317},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
    }