PyCor 0.0.7
Python Module for Korean Language Processing
NLCP : Natural Language Contextual Parsing
- Corpus기반 사전 학습, Dictionary 없이 한국어 형태소 분석이 가능한 자연어 파서
- 문장들을 처리하는 과정에서 Dictionary를 스스로 만드는 형태소분석기
- 한정된 문법형태소의 결합 규칙과 문서 혹은 문서 집합 안에서의 체언, 용언의 활용형태 분석
- 문장 단위, Document단위, Document set단위로 컨텍스트 생성, 자연어 파싱
- 제약 조건 : 기본적인 한국어 맞춤법을 지키는 정규화된 한글 문서에 적합(위키, 논문, 뉴스 기사 등)
- 목적 : 체계적인 지식을 기술한 문서의 파싱과 이해
Install
> pip install pycor
Usage
> python3
import pycor
pycor.train('training-text-dir')
pycor.savemodel('model-dir')
# 체언 혹은 용언의 어근들을 추출하여 2차원 배열로 제공
word2dArray = pycor.trim(text)
pycor.trimfile('text-file-path')
# 키워드 추출
keywordArray = pycor.abstract(text)
1 maintainer
Metadata
1 maintainer
Release files for pycor 0.0.8
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