Python Pronouncing

Rhyme Detection:

Rhyme detection allows users to find the rhyming word for the given word, and the function returns the word with phonetic similarity. Rhyme detection is a valuable tool for songwriters, poets, and other creative writers who use rhyming words to achieve cohesion and flow. Python Pronouncing module’s “ pronouncing.rhymes()” function returns the list of the words that rhyme with the provided word as input.

Stress Pattern:

We use stress patterns to identify the stressed syllables in a word for accurate pronunciation. It refers to the stressed and unstressed syllables, which is crucial for understanding the rhythm and emphasis of natural speech. The Python Pronouncing module’s pronouncing.stresses() function helps you identify the stress pattern of a given word. It returns 0 for unstressed syllables, 1 for primary stressed syllables, and 2 for Secondary stress syllables.

Syllable Counting:

Python’s pronouncing module can count the syllables in a word. A syllable typically refers to a speech unit containing a vowel or consonant sound. Counting syllables is essential for measuring word complexity, analyzing meter in spoken speech, and determining pronunciation. The “pronouncing.syllables_count” function of the Python Pronouncing module calculates the number of syllables in a given word and returns the integer value representing syllables count.

Phonetic Representation:

The Python pronouncing module represents pronunciation by utilizing ARPAbet (American English Phonetic Alphabet) phonetic transcription system. It assigns a unique code for each sound unit (phoneme); this code is represented by one or more characters, ensuring precise representation of pronunciation. The Python pronouncing module “ pronouncing.phones_for_word ” analyzes and returns a list of ARPAbet codes representing the possible pronunciation of the provided word.

Finding words with similar Pronunciation:

The Pronouncing module allows us to find the words that have phonetic similarities in their pronunciations. The search() function determines and returns a list of words with similar phonetic representation. This function is valuable in language generation, text-to-speech conversion, speech recognition, and natural language processing tasks.

Installation and Setup:

Installation:

pip install pronouncing

python –version

Setup:

import pronouncing

Code:

import pronouncing
rhymeWords= pronouncing.rhymes("Fine")
print("The rhyming words of the word Fine are: ")
print(rhymeWords)

Output:

Explanation:

Basic Usage

1. Rhyming words:

Rhyme detection is used to find the words that rhyme with the given word

Code:

# Step 1 – Importing the pronouncing module
import pronouncing
# Step 2 - User input text to find the rhyme
inputText = input("Enter a word to find rhyming words: ")
# Step 3 – Utilize rhymes() function for finding rhyming words
rhymingWords= pronouncing.rhymes(inputText)
# Step 4 - Print result
print("Rhyming words for the given word are: ")
print(rhymingWords)

Output:

Explanation:

# Improt pronouncing module
import pronouncing 
# Use phones_for_word() function for finding the phonetic repesentation for the given word
Result= pronouncing.phones_for_word("beautiful")
# Print result 
print("Phonetic Representation: ")
print(Result)

def syllables_count(english_word):
  english_word = english_word.lower()
  count = sum(
      1 for i in range(1, len(english_word))
      if english_word[i] in "aeiouy" and english_word[i - 1] not in "aeiouy")
  return count + (english_word[0] in "aeiouy") - (english_word.endswith("e") and count > 0)
print("Number of syllable in word:")
print(syllables_count("BANANA"))