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

   @inproceedings{inproceedings,
      author = {Antonova, Alexandra and Bakhturina, Evelina and Ginsburg, Boris},
      year = {2023},
      month = {08},
      pages = {1404-1408},
      title = {SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings},
      doi = {10.21437/Interspeech.2023-768}
   }