def bangla_spell_check(text, dictionary):
# Tokenize the text into words
words = tokenize_bangla_text(text)
suggestions = []
for word in words:
# Normalize the word for better matching
normalized_word = normalize_word(word)
if normalized_word not in dictionary:
# If word is not in the dictionary, find suggestions
closest_word = find_closest_word(normalized_word, dictionary)
suggestions.append((word, closest_word))
return suggestions
def find_closest_word(misspelled_word, dictionary):
min_distance = float('inf')
suggestion = None
for dict_word in dictionary:
distance = levenshtein_distance(misspelled_word, dict_word)
if distance < min_distance:
min_distance = distance
suggestion = dict_word
return suggestion
