Guaranteed Random Service Name.py

import nltk
import random
from nltk.corpus import brown

# Ensure the necessary NLTK resources are downloaded
nltk.download('brown')
nltk.download('universal_tagset')

def get_common_words_by_pos(tag, num_words=100):
    """ Return a list of the most common words for a given part of speech tag """
    # Create a frequency distribution of words in the Brown corpus tagged as specified POS
    word_freq = nltk.FreqDist(w.lower() for w, pos in brown.tagged_words(tagset='universal') if pos == tag)
    
    # Get the most common words up to the specified number
    return [word for word, freq in word_freq.most_common(num_words)]

def generate_common_pairs(num_pairs=1):
    # Get the most common adjectives and nouns
    adjectives = get_common_words_by_pos('ADJ', 1000)  # Top 100 adjectives
    nouns = get_common_words_by_pos('NOUN', 1000)      # Top 100 nouns

    pairs = []
    for _ in range(num_pairs):
        adjective = random.choice(adjectives)
        noun = random.choice(nouns)
        pairs.append(f"{adjective}-{noun}")

    return pairs

# Example usage:
print(generate_common_pairs(5))