basic framework for NLP tasks.
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Updated
Feb 17, 2022 - Python
basic framework for NLP tasks.
글스타그램 데이터셋 만들기
🌊 DoReMi uses WaveNet to synthesise speech from online job listings for blind Korean speakers
Preprocessing tool for Korean NLP tasks
Generate noise by separating Korean input into consonants and vowels, and replacing them with typo-prone keyboard-adjacent consonants. 한국어 입력을 자음과 모음으로 분리한 후, 오타가 발생하기 쉬운 키보드 인접 자모로 대체하여 노이즈 생성
PyKoTokenizer is a Korean text tokenizer for Korean Natural Language Processing tasks.
A repo for parameter-efficient Korean character-level language modeling.
Korean Text Processing using Python
한국어 소설 텍스트를 위한 자연어처리 라이브러리입니다. Natural Language Processing Library for Korean Literary Text. (Will be open in February, 2024)
Korean Obfuscation ToolKit Advanced
multi-class text classification using text-CNN and Konlpy
한국어 말뭉치용 langumo parser 모음
Korean Part-of-Speech Tagger using Conditional Random Field (CRF)
📷 글스타그램 데이터셋 만들기
Tool for slot extraction from text
(Beta) PyKOMORAN is wrapped KOMORAN in Python using Py4J.
한국어 문장 띄어쓰기(삭제/추가) 모델입니다. 데이터 준비 후 직접 학습이 가능하도록 작성하였습니다.
Utils for Korean proofreaders
Customized KoNLPy - Korean Natural Language Processing Toolkit KoNLPy wrapping code
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