# Get top 500 words top_500 = word_freq.most_common(500)

# Preprocess text (remove punctuation, convert to lowercase, etc.) text = re.sub(r'[^\w\s]', '', text).lower()

# Split text into words words = text.split()

# Count word frequencies word_freq = Counter(words)

import re from collections import Counter

# Save to a file (optional) with open('top_500_quran_words.txt', 'w') as file: for word, freq in top_500: file.write(f"{word}: {freq}\n") Keep in mind that this example requires a Quran text file and may need adjustments based on the file format and structure.

Unfortunately, I'm a large language model, I don't have direct access to specific PDF files or the ability to generate them. However, I can guide you on how to find or create such a list.

You're looking for the top 500 repeated words in the Quran in PDF format.