bgpt / spell_check.py
bibekyess's picture
Upload 9 files
42e3a78
raw
history blame
No virus
919 Bytes
import spellchecker
def correct_typos(sentence):
# Initialize the spell checker object
spell = spellchecker.SpellChecker(language="en")
# Adds Bibek to its frequency dictionary to make it a known word
spell.word_frequency.load_words(
[
"Bibek",
"Bibek's",
"skillsets",
"skillset",
"CV",
"RIRO",
"Bisonai",
"IC",
"BMC",
"KAIST",
]
)
sentence_split = sentence.split()
# Find the typos in the input sentence
typos = spell.unknown(sentence_split)
# Correct the typos
corrected_sentence = [
spell.correction(word)
if spell.correction(word)
else word
if word in typos
else word
for word in sentence_split
]
# Return the corrected sentence as a string
return " ".join(corrected_sentence)