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The siconv Python package simplifies the conversion between Sinhala and Singlish languages. Whether you're dealing with Sinhala text that needs transformation into Singlish or vice versa, siconv offers a user-friendly solution.

Project description

Simplify Sinhala and Singlish Language Conversion with siconv Python Package

Unlock efficient and accurate language conversion between Sinhala and Singlish effortlessly using the siconv Python package. Whether you need to transform Sinhala text to Singlish or vice versa, siconv offers a seamless and user-friendly solution.

Key Features:

  • Sinhala to Singlish Conversion: Easily convert Sinhala text to Singlish.
  • Singlish to Sinhala Conversion: Effortlessly transform Singlish text to Sinhala.
  • Efficient and Accurate Algorithms: siconv incorporates efficient and accurate language conversion algorithms for reliable results.

Installation:

Install the package effortlessly using pip:

pip install siconv

Usage Example:

from siconv import sinhala_to_singlish, singlish_to_sinhala

# Example Usage
sinhala_text = "ආයුබෝවන්"
converted_singlish = sinhala_to_singlish(sinhala_text)
print("Sinhala to Singlish:", converted_singlish)

singlish_text = "ayubowan"
converted_sinhala = singlish_to_sinhala(singlish_text)
print("Singlish to Sinhala:", converted_sinhala)

Advanced Applications:

1. Fine-tuning Language Models:

Utilize siconv to preprocess training data for fine-tuning large language models (LLMs) specifically tailored for Sinhala or Singlish language tasks.

2. Building NLP Applications:

Incorporate siconv into the development of Sinhala and Singlish applications, such as chatbots, sentiment analysis, or language translation, ensuring seamless text conversion.

3. Tokenization:

Enhance custom tokenization processes with siconv for accurate and consistent tokenization of Sinhala and Singlish text across diverse language-specific tasks.

Empower your projects with the versatility of siconv, not only streamlining language conversion but also contributing to the broader landscape of natural language processing in Sinhala and Singlish.

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