.\ngrams-nlp.py

import nltk, re
from nltk.tokenize import word_tokenize
# importing ngrams module from nltk
from nltk.util import ngrams
from collections import Counter
from looking_glass import looking_glass_full_text

cleaned = re.sub('\W+', ' ', looking_glass_full_text).lower()
tokenized = word_tokenize(cleaned)

# Change the n value to 2:
looking_glass_bigrams = ngrams(tokenized, 2)
looking_glass_bigrams_frequency = Counter(looking_glass_bigrams)

# Change the n value to 3:
looking_glass_trigrams = ngrams(tokenized, 3)
looking_glass_trigrams_frequency = Counter(looking_glass_trigrams)

# Change the n value to a number greater than 3:
looking_glass_ngrams = ngrams(tokenized, 8)
looking_glass_ngrams_frequency = Counter(looking_glass_ngrams)

print("Looking Glass Bigrams:")
print(looking_glass_bigrams_frequency.most_common(10))

print("\nLooking Glass Trigrams:")
print(looking_glass_trigrams_frequency.most_common(10))

print("\nLooking Glass n-grams:")
print(looking_glass_ngrams_frequency.most_common(10))