WebJun 5, 2024 · CCL2024 Chinese Learner Text Correction(2024.06.05-2024.09.10). CLTC (Chinese Learner Text Correction)aims to automatically detect and correct … WebSep 24, 2024 · Chinese Spelling Correction (CSC) is a challenging task that requires the ability to model the language and capture the implicit pattern of spelling error generation. In this paper, we propose PGBERT as Phonology and Glyph Enhanced Pre-training for CSC.
Read, Listen, and See: Leveraging Multimodal Information Helps …
WebIn this paper, we propose ReaLiSe (Rea d, Li sten, and Se e), a Chinese spell checker which leverages the semantic, phonetic and graphic information to correct the spelling errors. The ReaLiSe model employs three encoders to learn informative representations from textual, acoustic and visual modalities. First, BERT (bert) is adopted as the backbone of the … WebTherefore, we develop Chinese GEC models based on three pre-trained models: Chinese BERT, Chinese T5, and Chinese BART, and then incorporate these models with pseudo data to determine the best configuration for the Chinese GEC task. easy furniture redos
目前NLP中文文本纠错(错别字检索,修改)有什么研究? - 知乎
WebChinese Spell Checking (CSC) aims to detect and correct erroneous characters for user-generated text in Chinese language. Most of the Chinese spelling errors are misused … WebBERT-encoder We initialize the encoder of Transformer with the parameters learned by Chinese-RoBERTa-wwm-ext; the decoder is initial-ized randomly. Finally, we fine-tune the initialized model on Chinese GEC data. BERT-fused Zhu et al.(2024) proposed a method that uses a pre-trained model as the ad-ditional features. In this method, input sentences WebChinese spelling check (CSC) is a task to detect and correct spelling errors in Chinese text. Most state-of-the-art works on the CSC task adopt a BERT-based non-autoregressive language model, which relies on the output independence assumption. The inappropri-ate independence assumption prevents BERT-based models from learning the dependencies easyfusion