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https://github.com/paiv/uklatn
Ukrainian Cyrillic transliteration to Latin script
https://github.com/paiv/uklatn
swift ukraine
Last synced: about 10 hours ago
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Ukrainian Cyrillic transliteration to Latin script
- Host: GitHub
- URL: https://github.com/paiv/uklatn
- Owner: paiv
- License: mit
- Created: 2024-10-27T17:08:19.000Z (21 days ago)
- Default Branch: main
- Last Pushed: 2024-11-16T15:39:06.000Z (1 day ago)
- Last Synced: 2024-11-16T16:17:28.280Z (1 day ago)
- Topics: swift, ukraine
- Language: Python
- Homepage:
- Size: 150 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: license
Awesome Lists containing this project
README
uklatn
==
Ukrainian Cyrillic transliteration to Latin script.
[](https://ukrainewar.carrd.co/)
[](https://github.com/paiv/uklatn/actions)
[JavaScript](#javascript-package) | [Python](#python-module) | [C](c/) | [Java](#java-library) | [Swift](#swift-package) | [Ruby](#ruby-gem)
Supported transliteration schemes:
- [DSTU 9112:2021](https://uk.wikipedia.org/wiki/ДСТУ_9112:2021)
- [KMU 55:2010](https://zakon.rada.gov.ua/laws/show/55-2010-п)
JavaScript package
--
- [uklatn JavaScript package](js/)
Install with npm:
```sh
npm install uklatn
```
Usage:
```js
import * as uklatn from 'uklatn';
uklatn.encode("Доброго вечора!");
uklatn.decode("Paljanycja");
```
Python module
--
- [uklatn Python module](python/)
Install with pip:
```sh
pip install uklatn
```
Usage:
```py
import uklatn
uklatn.encode("Доброго вечора!")
uklatn.decode("Paljanycja")
```
Java library
--
- [uklatn Java library](java/)
Add dependency to pom.xml:
```pom.xml
io.github.paiv.uklatn
uklatn
1.12.0
```
Swift package
--
- [uklatn Swift package](swift/)
Add package dependency:
```sh
swift package add-dependency 'https://github.com/paiv/uklatn.git' --from '1.0.0'
swift package add-target-dependency --package uklatn UkrainianLatin
```
Ruby Gem
--
- [uklatn Ruby gem](ruby/)
Add gem dependency:
```ruby
gem 'uklatn'
```
Notes
--
Input is assumed to be in Ukrainian (Cyrillic or Latin script), and will be processed in full.
If your data has mixed languages, do preprocessing to extract Ukrainian chunks.