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from nltk import word_tokenize | |
import wordninja | |
def get_average_words_per_line(lines): | |
sum = 0 | |
for line in lines: | |
tokens = word_tokenize(line) | |
sum+= len(tokens) | |
return sum/ len(lines) | |
def get_average_line_len(lines): | |
sum = 0 | |
for line in lines: | |
sum+=len(line) | |
return sum / len(lines) | |
def percentage_difference(value1, value2): | |
average_value = (value1 + value2) / 2 | |
diff = abs(value1 - value2) | |
percentage_diff = (diff / average_value) * 100 | |
return percentage_diff | |
def recover_text(line): | |
tokens = word_tokenize(line) | |
condition = percentage_difference(len(tokens), len(wordninja.split(line))) > 150 | |
#condition = percentage_difference(line_width, len(tokens)) > percentage_difference(average_width, avg_tokens) | |
return " ".join(wordninja.split(line)) if condition else line | |