https://github.com/khantthulinn/Zawgyi-Segmentation

https://github.com/khantthulinn/Zawgyi-Segmentation

Last synced: 2 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/khantthulinn/Zawgyi-Segmentation
• Owner: khantthulinn
• License: mit
• Created: 2016-06-16T14:31:06.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-06-16T15:39:35.000Z (over 8 years ago)
• Last Synced: 2024-07-21T17:11:28.424Z (3 months ago)
• Language: Objective-C
• Size: 494 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• Awesome-Myanmar - Zawgyi-Segmentation - C | | | (Myanmar NLP)

README

        
# Zawgyi Segmentation

[![Version](https://img.shields.io/cocoapods/v/ZawgyiSegmentation.svg?style=flat)](http://cocoapods.org/pods/ZawgyiSegmentation)

[![License](https://img.shields.io/cocoapods/l/ZawgyiSegmentation.svg?style=flat)](http://cocoapods.org/pods/ZawgyiSegmentation)

[![Platform](https://img.shields.io/cocoapods/p/ZawgyiSegmentation.svg?style=flat)](http://cocoapods.org/pods/ZawgyiSegmentation)

## Description

This is for segmenting sentence written in Zawgyi. Example is shown below. 

![Converting](Media/photo1.png)

You can also combine meaningful words together like this.

![Converting](Media/photo2.png)

To run this project, clone the repo, and run `pod install` from the project directory first.

## Output

![Converting](Media/out.gif)

## Usuage

Simply put your input string and get segmented words back in array. 

```obj-c

NSArray *arr = [ZawgyiSegmentationHelper convertZawgyiSentence:self.txtInput.text andWillCombineWord:NO];

```

## Installation

ZawgyiSegmentation is available through [CocoaPods](http://cocoapods.org). To install

it, simply add the following line to your Podfile:

```ruby

pod "ZawgyiSegmentation"

```

## Note

Initially, it is created in C# last 5 years ago. I just convert everything to Objective-c and make it as cocoapods. You can edit/use this project as you like. This can be used to make word wrap for Zawgyi sentence.  Please feel free to contact me.

## Author

Khant Thu Linn

## License

ZawgyiSegmentation is available under the MIT license. See the LICENSE file for more info.