indic-num2words - Convert Numbers to Words for Indian Languages

The indic-num2words module converts numerical digits like 36 into words like छत्तीस in various Indian languages.

Installation

To install the latest stable release from PyPI:

pip install indic-num2words

Usage

The module provides a single function for converting numbers to words:

from num_to_words import num_to_word

# Examples:
print(num_to_word(36, lang='hi'))  # Output: छत्तीस
print(num_to_word('४५', lang='hi'))  # Output: पैंतालीस
print(num_to_word("35,43,57,730", lang='hi'))  # Output: पैंतीसकरोड़ तैंतालीसलाख सत्तावनहज़ार सातसौ तीस
print(num_to_word(795, lang='kn', separator='-'))  # Output: ಏಳುನೂರ-ತೊಂಬತ್ತೈದು
print(num_to_word(445951, lang='ne')) # Output: चार लाख, पैंतालीस हजार, नौ सय, एकाउन्न
print(num_to_word(545589, lang='en', separator=', ', combiner='-'))  # Output: five-lakh, forty-five-thousand, five-hundred, eighty-nine

Function Parameters

• num (int, str): The number to be converted. This can be an integer, string of digits, or a formatted number string.
• lang (str): The language code for the desired output language. Supported languages are listed below.
• separator (str, optional): A string to use as a separator between number groups. Default is a space.
• combiner (str, optional): A string to combine words in complex numbers. Default is a space.

Supported Languages

The module currently supports conversion to the following languages:

• en (English-India)
• hi (Hindi)
• ne (Nepali)
• gu (Gujarati)
• mr (Marathi)
• bn (Bengali)
• te (Telugu)
• ta (Tamil)
• kn (Kannada)
• or (Oriya)
• pa (Punjabi)
• ml (Malayalam)

Use Cases

1. Speech Recognition Pre-processing: Convert numbers to words to improve speech recognition accuracy.
2. Language Modeling Data Pre-processing: Prepare text data for training language models by converting numerical data to words.

What's Next

We are planning to add support for the following languages:

• Urdu
• Assamese

If you'd like to contribute or request support for another language, check utils/constants.py to see how you can add support. It's designed to be straightforward.

Contributing

We welcome contributions! If you'd like to help out, feel free to submit pull requests or raise issues on our GitHub repository.

Feel free to reach out if you have any questions or need further assistance. Happy coding!