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Contextual Spell Check

Contextual spell correction using BERT (bidirectional representations)

Contextual Spell Check on GitHubContextual Spell Check on GitHubContextual Spell Check on GitHub

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.

Example
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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Author info

Rajat Goel

GitHubR1j1t/contextualSpellCheck

Categories pipeline conversational research

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