def correct(input)
normalized_input = normalize(input)
threshold = normalized_input.length > 3 ? 0.834 : 0.77
words = @dictionary.select { |word| JaroWinkler.distance(normalize(word), normalized_input) >= threshold }
words.reject! { |word| input.to_s == word.to_s }
words.sort_by! { |word| JaroWinkler.distance(word.to_s, normalized_input) }
words.reverse!
threshold = (normalized_input.length * 0.25).ceil
corrections = words.select { |c| Levenshtein.distance(normalize(c), normalized_input) <= threshold }
if corrections.empty?
corrections = words.select do |word|
word = normalize(word)
length = normalized_input.length < word.length ? normalized_input.length : word.length
Levenshtein.distance(word, normalized_input) < length
end.first(1)
end
corrections
end