This package currently focuses on Out of Vocabulary (OOV) word or non-word error (NWE) correction using BERT model. The idea of using BERT was to use the context when correcting NWE.
import spacy import contextualSpellCheck nlp = spacy.load('en_core_web_sm') contextualSpellCheck.add_to_pipe(nlp) doc = nlp('Income was $9.4 milion compared to the prior year of $2.7 milion.') print(doc._.performed_spellCheck) #Should be True print(doc._.outcome_spellCheck) #Income was $9.4 million compared to the prior year of $2.7 million.
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