Papers Chinese Spell Checking
“Chinese Spell Checking” 태그가 달린 논문 17편 · 필터 해제
C-LLM: Learn to Check Chinese Spelling Errors Character by Character
Chinese Spell Checking (CSC) aims to detect and correct spelling errors in sentences. Despite Large Language Models (LLMs) exhibit robust capabilities and are widely applied in various tasks, their performance on CSC is …
Chinese Spell CheckingLanguage ModelingLanguage ModellingLarge Language ModelRich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking
Chinese Spell Checking (CSC) is a widely used technology, which plays a vital role in speech to text (STT) and optical character recognition (OCR). Most of the existing CSC approaches relying on BERT architecture achieve…
Chinese Spell CheckingIn-Context LearningOptical Character RecognitionOptical Character Recognition (OCR)+1Block the Label and Noise: An N-Gram Masked Speller for Chinese Spell Checking
Recently, Chinese Spell Checking(CSC), a task to detect erroneous characters in a sentence and correct them, has attracted extensive interest because of its wide applications in various NLP tasks. Most of the existing me…
Chinese Spell CheckingSentenceInvestigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next
While pre-trained Chinese language models have demonstrated impressive performance on a wide range of NLP tasks, the Chinese Spell Checking (CSC) task remains a challenge. Previous research has explored using information…
Chinese Spell CheckingSDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking
Due to the ambiguity of homophones, Chinese Spell Checking (CSC) has widespread applications. Existing systems typically utilize BERT for text encoding. However, CSC requires the model to account for both phonetic and gr…
Chinese Spell CheckingContrastive LearningSentenceLearning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors. Recent researches start from the pretrained knowledge of language models and take multimodal information into CSC models to improve the per…
Chinese Spell CheckingContrastive LearningContextual Similarity is More Valuable than Character Similarity: An Empirical Study for Chinese Spell Checking
Chinese Spell Checking (CSC) task aims to detect and correct Chinese spelling errors. Recently, related researches focus on introducing character similarity from confusion set to enhance the CSC models, ignoring the cont…
Chinese Spell CheckingThe Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors, which are mainly caused by the phonological or visual similarity. Recently, pre-trained language models (PLMs) promote the progress of CSC …
Chinese Spell CheckingThe Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors, which are mainly caused by the phonological or visual similarity. Recently, pre-trained language models (PLMs) promote the progress of CSC …
Chinese Spell CheckingPHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check
Chinese Spelling Check (CSC) is a challenging task due to the complex characteristics of Chinese characters. Statistics reveal that most Chinese spelling errors belong to phonological or visual errors. However, previous …
Chinese Spell CheckingLanguage ModelingLanguage ModellingRead, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct erroneous characters for user-generated text in the Chinese language. Most of the Chinese spelling errors are misused semantically, phonetically or graphically simi…
Chinese Spell CheckingFASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm
We propose a Chinese spell checker {--} FASPell based on a new paradigm which consists of a denoising autoencoder (DAE) and a decoder. In comparison with previous state-of-the-art models, the new paradigm allows our spel…
Chinese Spell CheckingDecoderDenoisingLanguage Modeling+1An Improved Graph Model for Chinese Spell Checking
Chinese Spell Checking Based on Noisy Channel Model
Integrating Dictionary and Web N-grams for Chinese Spell Checking
Graph Model for Chinese Spell Checking
Spell Checking for Chinese
This paper presents some novel results on Chinese spell checking. In this paper, a concise algorithm based on minimized-path segmentation is proposed to reduce the cost and suit the needs of current Chinese input systems…
Chinese Spell Checking