https://bitbucket.org/robvanderg/monoise
공식 코드MoNoise: Modeling Noise Using a Modular Normalization System
Papers with Code 아카이브
Spelling Correction
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Spelling correction is the task of detecting and correcting spelling mistakes.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FDChongli/TwoWaysToImproveCSC
공식 코드Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
https://github.com/FloatFrank/TIPA
공식 코드Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
https://github.com/GreedyGeorge/COIN
공식 코드A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction
https://github.com/Jacob-Zhou/simple-csc
공식 코드https://github.com/NVIDIA/NeMo
공식 코드https://github.com/RemiLeblond/SeaRNN-open
공식 코드https://github.com/SourcecodeSharing/CWSpostediting
공식 코드Neural Chinese Word Segmentation as Sequence to Sequence Translation
https://github.com/Yutong-gannis/TiSpell
공식 코드https://github.com/ad-freiburg/tokenization-repair
공식 코드https://github.com/ai-forever/sage
공식 코드https://github.com/claude-liu/relm
공식 코드https://github.com/clips/clinspell
공식 코드https://github.com/cycloneboy/csc_eda
공식 코드EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
https://github.com/daeveraert/gradient-information-optimization
공식 코드GIO: Gradient Information Optimization for Training Dataset Selection
https://github.com/explanare/char-iit
공식 코드https://github.com/facebookresearch/fairseq
공식 코드https://github.com/gingasan/lemon
공식 코드Rethinking Masked Language Modeling for Chinese Spelling Correction
https://github.com/hasiburshanto/bangla-spell-checker
공식 코드https://github.com/heraclex12/Viwiki-spelling
공식 코드Hierarchical Transformer Encoders for Vietnamese Spelling Correction
https://github.com/igarashiakatuki/cnmbert
공식 코드CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters
https://github.com/iiosnail/nambert
공식 코드Unveiling the Impact of Multimodal Features on Chinese Spelling Correction: From Analysis to Design
https://github.com/jacklxc/StandAloneSpellingCorrection
공식 코드https://github.com/ktlktl/eval-gcsc
공식 코드Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction
https://github.com/liangzh63/dorm-csc
공식 코드Disentangled Phonetic Representation for Chinese Spelling Correction
https://github.com/ljyflores/filipino-slang
공식 코드https://github.com/mehedihasanbijoy/DPCSpell
공식 코드https://github.com/mhagiwara/github-typo-corpus
공식 코드GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
https://github.com/mnhng/HeadFilt
공식 코드https://github.com/msalhab96/AraSpell
공식 코드AraSpell: A Deep Learning Approach for Arabic Spelling Correction
https://github.com/neuspell/neuspell
공식 코드https://github.com/nghuyong/cscd-ime
공식 코드CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers
https://github.com/prateek-kacker/ABB-BERT
공식 코드ABB-BERT: A BERT model for disambiguating abbreviations and contractions
https://github.com/rizar/actor-critic-public
공식 코드https://github.com/ruisun1/Mask-Predict-main
공식 코드An Error-Guided Correction Model for Chinese Spelling Error Correction
https://github.com/squareslab/varclr
공식 코드VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.