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https://github.com/open-korean-text/open-korean-text

Open Korean Text Processor - An Open-source Korean Text Processor
https://github.com/open-korean-text/open-korean-text

korean korean-text-processing korean-tokenizer natural-language-processing text-processing tokenizer

Last synced: 11 days ago
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Open Korean Text Processor - An Open-source Korean Text Processor

Host: GitHub
URL: https://github.com/open-korean-text/open-korean-text
Owner: open-korean-text
License: apache-2.0
Created: 2017-01-24T22:11:41.000Z (almost 8 years ago)
Default Branch: master
Last Pushed: 2024-03-12T17:28:46.000Z (8 months ago)
Last Synced: 2024-04-30T22:08:50.727Z (7 months ago)
Topics: korean, korean-text-processing, korean-tokenizer, natural-language-processing, text-processing, tokenizer
Language: Scala
Homepage:
Size: 32.7 MB
Stars: 597
Watchers: 53
Forks: 94
Open Issues: 11
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

awesome-hangul - open-korean-text - An Open-source Korean Text Processor (Programming Languages / Scala)

README

        ## open-korean-text [![Coverage Status](https://coveralls.io/repos/github/open-korean-text/open-korean-text/badge.svg?branch=master)](https://coveralls.io/github/open-korean-text/open-korean-text?branch=master) [![Build Status](https://travis-ci.org/open-korean-text/open-korean-text.svg?branch=master)](https://travis-ci.org/open-korean-text/open-korean-text) [![License](http://img.shields.io/:license-Apache%202-red.svg)](http://www.apache.org/licenses/LICENSE-2.0.txt)

Open-source Korean Text Processor / 오픈소스 한국어 처리기 (Official Fork of twitter-korean-text)

Scala/Java library to process Korean text with a Java wrapper. open-korean-text currently provides Korean normalization and tokenization. Please join our community at [Google Forum](https://groups.google.com/forum/#!forum/open-korean-text). The intent of this text processor is not limited to short tweet texts.

스칼라로 쓰여진 한국어 처리기입니다. 현재 텍스트 정규화와 형태소 분석, 스테밍을 지원하고 있습니다. 짧은 트윗은 물론이고 긴 글도 처리할 수 있습니다. 개발에 참여하시고 싶은 분은 [Google Forum](https://groups.google.com/forum/#!forum/open-korean-text)에 가입해 주세요. 사용법을 알고자 하시는 초보부터 코드에 참여하고 싶으신 분들까지 모두 환영합니다.

[설치 및 수정하는 방법 상세 안내](docs/contribution-guide.md)

open-korean-text의 목표는 빅데이터 등에서 간단한 한국어 처리를 통해 색인어를 추출하는 데에 있습니다. 완전한 수준의 형태소 분석을 지향하지는 않습니다.

open-korean-text는 normalization, tokenization, stemming, phrase extraction 이렇게 네가지 기능을 지원합니다.

**정규화 normalization (입니닼ㅋㅋ -> 입니다 ㅋㅋ, 샤릉해 -> 사랑해)**

* 한국어를 처리하는 예시입니닼ㅋㅋㅋㅋㅋ -> 한국어를 처리하는 예시입니다 ㅋㅋ

**토큰화 tokenization**

* 한국어를 처리하는 예시입니다 ㅋㅋ -> 한국어Noun, 를Josa, 처리Noun, 하는Verb, 예시Noun, 입니다Adjective(이다), ㅋㅋKoreanParticle

**어근화 stemming (입니다 -> 이다)**

* 한국어를 처리하는 예시입니다 ㅋㅋ -> 한국어Noun, 를Josa, 처리Noun, 하다Verb, 예시Noun, 이다Adjective, ㅋㅋKoreanParticle

**어구 추출 phrase extraction**

* 한국어를 처리하는 예시입니다 ㅋㅋ -> 한국어, 처리, 예시, 처리하는 예시

Introductory Presentation: [Google Slides](https://docs.google.com/presentation/d/10CZj8ry03oCk_Jqw879HFELzOLjJZ0EOi4KJbtRSIeU/)

## Web API Service

[open-korean-text-api](https://github.com/open-korean-text/open-korean-text-api)  

이 API 서비스는 Heroku 서버에서 제공되며(Domain: https://open-korean-text.herokuapp.com/)

현재 정규화(normalization), 토큰화(tokenization), 어근화(stemmin), 어구 추출(phrase extract)

서비스를 제공합니다.

각 서비스와 사용법은 다음과 같습니다.  

`normalize`, `tokenize`, `stem`, `extractPhrases` 가 각 서비스의 **Action** 이 되며 **Query parameter** 는 `text` 입니다.

서비스 | 사용법

---- | ----

정규화 | https://open-korean-text-api.herokuapp.com/normalize?text=오픈코리안텍스트

토큰화 | https://open-korean-text-api.herokuapp.com/tokenize?text=오픈코리안텍스트

어근화 | https://open-korean-text-api.herokuapp.com/stem?text=오픈코리안텍스트

어구 추출 | https://open-korean-text-api.herokuapp.com/extractPhrases?text=오픈코리안텍스트

## Semantic Versioning

1.0.2 (Major.Minor.Patch)

Major: API change

Minor: Processor behavior change

Patch: Bug fixes without a behavior change

## API

* [Scala Doc](https://open-korean-text.github.io/open-korean-text/scaladocs/org/openkoreantext/processor/index.html)

* [Maven Doc](https://open-korean-text.github.io/open-korean-text/index.html)

## Maven

To include this in your Maven-based JVM project, add the following lines to your pom.xml:

/ Maven을 이용할 경우 pom.xml에 다음의 내용을 추가하시면 됩니다:

```xml

  

    org.openkoreantext

    open-korean-text

    2.1.0

  

```

Maven Repository: http://mvnrepository.com/artifact/org.openkoreantext/open-korean-text

## Support for other languages.

| Type | Language | Contributor |

| --- | --- | --- |

| Wrapper | [.net/C#](https://github.com/open-korean-text/open-korean-text-wrapper-csharp) | [modamoda](https://github.com/modamoda) |

| Wrapper | [Node JS](https://github.com/open-korean-text/open-korean-text-wrapper-node-1) | [Ch0p](https://github.com/Ch0p) |

| Wrapper | [Node JS](https://github.com/open-korean-text/open-korean-text-wrapper-node-2) | [Youngrok Kim](https://github.com/rokoroku) |

| Wrapper | [Python](https://github.com/open-korean-text/open-korean-text-wrapper-python) | [Jaepil Jeong](https://github.com/jaepil) |

| Wrapper | [Clojure](https://github.com/open-korean-text/open-korean-text-4clj) | [Seonho Kim](https://github.com/ksseono) |

| Wrapper | [Ruby for Java Version](https://github.com/open-korean-text/open-korean-text-wrapper-ruby-1) | [jun85664396](https://github.com/jun85664396) |

| Wrapper | [Ruby for Scala Version](https://github.com/open-korean-text/open-korean-text-wrapper-ruby-2) | [Jaehyun Shin](https://github.com/keepcosmos) |

| Porting | [Python](https://github.com/open-korean-text/open-korean-text-python) | [Baeg-il Kim](https://github.com/cedar101) |

| Package | [Python Korean NLP](https://github.com/konlpy/konlpy) | [KoNLPy](https://github.com/konlpy/konlpy) |

| Package | [Elastic Search](https://github.com/open-korean-text/open-korean-text-elastic-search) | [socurites](https://github.com/socurites) |

| Package | [Elastic Search](https://github.com/open-korean-text/elasticsearch-analysis-openkoreantext) | [Jaehyun Shin](https://github.com/keepcosmos) |

| Package | [JavaScript](https://github.com/71/oktjs) (browser-compatible) | [Grégoire Geis](https://github.com/71) |

## Get the source / 소스를 원하시는 경우

Clone the git repo and build using maven.

/ Git 전체를 클론하고 Maven을 이용하여 빌드합니다.

```bash

git clone https://github.com/open-korean-text/open-korean-text.git

cd open-korean-text

mvn compile

```

Open 'pom.xml' from your favorite IDE.

## Basic Usage / 사용 방법

You can find these [examples](examples) in examples folder.

/ [examples](examples) 폴더에 사용 방법 예제 파일이 있습니다.

* [Scala Example](examples/src/main/scala/ScalaOpenKoreanTextExample.scala)

* [Java Example](examples/src/main/java/JavaOpenKoreanTextProcessorExample.java)

## Running Tests

`mvn test` will run our unit tests

/ 모든 유닛 테스트를 실행하려면 `mvn test`를 이용해 주세요.

## Contribution

Refer to the [general contribution guide](CONTRIBUTING.md). We will add this project-specific contribution guide later.

[설치 및 수정하는 방법 상세 안내](docs/contribution-guide.md)

## Performance / 처리 속도

Tested on Intel i7 2.3 Ghz

Initial loading time (초기 로딩 시간): 2~4 sec

Average time per parsing a chunk (평균 어절 처리 시간): 0.12 ms

**Tweets (Avg length ~50 chars)**

Tweets|100K|200K|300K|400K|500K|600K|700K|800K|900K|1M

---|---|---|---|---|---|---|---|---|---|---

Time in Seconds|57.59|112.09|165.05|218.11|270.54|328.52|381.09|439.71|492.94|542.12

Average per tweet: 0.54212 ms

**Benchmark test by [KoNLPy](http://konlpy.org/)**

![Benchmark test](http://konlpy.org/ko/v0.4.2/_images/time.png)

From [http://konlpy.org/ko/v0.4.3/morph/#pos-tagging-with-konlpy](http://konlpy.org/ko/v0.4.3/morph/#pos-tagging-with-konlpy)

## Author

* Will Hohyon Ryu (유호현): https://github.com/nlpenguin | https://twitter.com/NLPenguin

## Admin Staff

* Mingyu Kim (김민규): https://github.com/MechanicKim

## License

Copyright 2014 Twitter, Inc.

Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0