Transformer-Based Spell Check
Explore how transformers apply machine translation techniques to spell checking by treating misspelled text as a source language and correctly spelled text as the target. Understand how the xfspell model uses character-level training and large typo datasets for accurate correction, and discover the technique of artificial typo generation through back-translation to enhance training data. Learn the challenges modern transformer spellcheckers face and potential future improvements in modeling language dialects and typo generation.
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Spell correction as machine translation
We know that a transformer can be trained to translate a sentence from a source language to a target language. So, what if we apply a similar approach but instead use misspelled words as the "source language”, and correctly spelled words in our language of choice as the "target language"?
xfspell explanation
xfspell utilizes the ...