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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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task_categories: |
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- token-classification |
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size_categories: |
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- 10M<n<100M |
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--- |
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This is the training dataset used to train the first version of the SpellMapper model. |
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It consists of 33'547'074 training examples. |
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Actually, [this checkpoint](https://huggingface.co/bene-ges/spellmapper_asr_customization_en) was trained only 1/3 of the full dataset. |
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Paper: [SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings](https://arxiv.org/abs/2306.02317) |
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## Citation |
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```bibtex |
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@inproceedings{inproceedings, |
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author = {Antonova, Alexandra and Bakhturina, Evelina and Ginsburg, Boris}, |
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year = {2023}, |
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month = {08}, |
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pages = {1404-1408}, |
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title = {SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings}, |
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doi = {10.21437/Interspeech.2023-768} |
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} |
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``` |
