Google BERT implementation on pytorch-template
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Updated
Sep 27, 2019 - Python
Google BERT implementation on pytorch-template
Augmented Dense-Sparse Retrieval for Longer Korean Passages
Preprocessing tool for Korean NLP tasks
Code and data for "KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark" (LREC-COLING 2024)
Lite Korean language model
A repo for parameter-efficient Korean character-level language modeling.
한국어 소설 텍스트를 위한 자연어처리 라이브러리입니다. Natural Language Processing Library for Korean Literary Text. (Will be open in February, 2024)
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
basic framework for NLP tasks.
DACON 기후기술분류 경진대회 at @KNU-BrainAI (2021)
Lighter code to train Korean SimCSE
Tacotron-Korean-Tensorflow2 for ubuntu
한국어 댓글 데이터셋에 훈련시킨 Pretrained MoE(Mixture-of-Experts) 모델
Unofficial parser for NIKL Dictionary files.
Korean Text Processing using Python
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