PyKomoran is Python wrapper for KOMORAN, KOrean MORphical ANalyzer.
Project description
# PyKOMORAN
[](https://pypi.org/project/PyKomoran)
[](https://pypi.org/project/PyKomoran)
[](https://pypi.org/project/PyKomoran)
[](https://www.apache.org/licenses/LICENSE-2.0)
## Introduction
* PyKOMORAN is Python wrapper project for [KOMORAN, KOrean MORphical ANalyzer](https://github.com/shin285/KOMORAN).
* PyKOMORAN is using [Py4J](https://github.com/bartdag/py4j) for wrapping [KOMORAN Java library](https://github.com/shin285/KOMORAN).
* If you have any issue or question, please leave an issue on [PyKOMORAN Project](https://github.com/shineware/PyKOMORAN/issues).
## Installation
### Requirements
* To use PyKomoran, the following requirements must be installed
* Java 8+ JDK Environment
* Python 3.4+
* We recommend you use Python 3.4 or higher.
* [Py4J](https://www.py4j.org/install.html), 0.10 (or higher)
* This will be installed when installing PyKomoran using `pip`.
### How to install
* You can install PyKomoran using `pip`.
```bash
pip install PyKomoran
```
* Or, just clone this repository and install by yourself.
```sh
git clone https://github.com/shineware/PyKOMORAN
cd PyKOMORAN/python
python setup.py install
```
* Please refer to [installation document](https://pydocs.komoran.kr/firststep/installation.html?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) for detailed installation method.
## Usage
### Quick start
* After import dependencies, create a Komoran instance.
```python
from PyKomoran import *
komoran = Komoran(DEFAULT_MODEL['LIGHT'])
```
* After then, run analyzing method.
```python
komoran.get_plain_text("① 대한민국은 민주공화국이다.")
# # Result
# '①/SW 대한민국/NNP 은/JX 민주/NNP 공화국/NNG 이/VCP 다/EF ./SF'
```
### Usage in detail
* Please refer [KOMORAN Document site](https://pydocs.komoran.kr/firststep/tutorial.html?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) for more information.
## Citation
* Please use BibTeX below.
```tex
@misc{komoran,
author = {Junsoo Shin, Junghwan Park, Geunho Lee},
title = {KOMORAN},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/shineware/PyKOMORAN}}
}
```
## License
* PyKOMORAN is distributed with the Apache 2.0 license, same as [KOMORAN](https://github.com/shin285/KOMORAN). See `LICENSE` for more information.
## Contributing
* We're always happy to receive any contributions including code, bug reports and documentation fixes.
* Please visit our [Website](https://www.shineware.co.kr/products/komoran/#demo?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) and/or [Project Organization at GitHub](https://github.com/komoran) for more information.
* Or, if you have any necessary features or suggestion? Please leave your idea on [Request to add new feature](https://github.com/shineware/PyKOMORAN/issues/new?template=FEATURE_REQUEST.md)
[](https://pypi.org/project/PyKomoran)
[](https://pypi.org/project/PyKomoran)
[](https://pypi.org/project/PyKomoran)
[](https://www.apache.org/licenses/LICENSE-2.0)
## Introduction
* PyKOMORAN is Python wrapper project for [KOMORAN, KOrean MORphical ANalyzer](https://github.com/shin285/KOMORAN).
* PyKOMORAN is using [Py4J](https://github.com/bartdag/py4j) for wrapping [KOMORAN Java library](https://github.com/shin285/KOMORAN).
* If you have any issue or question, please leave an issue on [PyKOMORAN Project](https://github.com/shineware/PyKOMORAN/issues).
## Installation
### Requirements
* To use PyKomoran, the following requirements must be installed
* Java 8+ JDK Environment
* Python 3.4+
* We recommend you use Python 3.4 or higher.
* [Py4J](https://www.py4j.org/install.html), 0.10 (or higher)
* This will be installed when installing PyKomoran using `pip`.
### How to install
* You can install PyKomoran using `pip`.
```bash
pip install PyKomoran
```
* Or, just clone this repository and install by yourself.
```sh
git clone https://github.com/shineware/PyKOMORAN
cd PyKOMORAN/python
python setup.py install
```
* Please refer to [installation document](https://pydocs.komoran.kr/firststep/installation.html?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) for detailed installation method.
## Usage
### Quick start
* After import dependencies, create a Komoran instance.
```python
from PyKomoran import *
komoran = Komoran(DEFAULT_MODEL['LIGHT'])
```
* After then, run analyzing method.
```python
komoran.get_plain_text("① 대한민국은 민주공화국이다.")
# # Result
# '①/SW 대한민국/NNP 은/JX 민주/NNP 공화국/NNG 이/VCP 다/EF ./SF'
```
### Usage in detail
* Please refer [KOMORAN Document site](https://pydocs.komoran.kr/firststep/tutorial.html?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) for more information.
## Citation
* Please use BibTeX below.
```tex
@misc{komoran,
author = {Junsoo Shin, Junghwan Park, Geunho Lee},
title = {KOMORAN},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/shineware/PyKOMORAN}}
}
```
## License
* PyKOMORAN is distributed with the Apache 2.0 license, same as [KOMORAN](https://github.com/shin285/KOMORAN). See `LICENSE` for more information.
## Contributing
* We're always happy to receive any contributions including code, bug reports and documentation fixes.
* Please visit our [Website](https://www.shineware.co.kr/products/komoran/#demo?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) and/or [Project Organization at GitHub](https://github.com/komoran) for more information.
* Or, if you have any necessary features or suggestion? Please leave your idea on [Request to add new feature](https://github.com/shineware/PyKOMORAN/issues/new?template=FEATURE_REQUEST.md)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file PyKomoran-0.1.4-py3-none-any.whl.
File metadata
- Download URL: PyKomoran-0.1.4-py3-none-any.whl
- Upload date:
- Size: 7.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/28.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
387cc37540a139d535a1d4c665e3595b35865782ab62e72b62b2e1e9e1d50b11
|
|
| MD5 |
60e62a467bcdabe819896a6ce2a21e49
|
|
| BLAKE2b-256 |
883ef954667d513d2997a46d63fa2a08a400f69f99f363863071c87d07a6b9b7
|