Investigating Glyph Phonetic Information for Chinese Spell Checking:
What Works and What's Next

Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next

8 December 2022

Xipeng Qiu

Papers citing "Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next"

19 / 19 papers shown

Title
SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking Xiaotian Zhang Hang Yan Sun Yu Xipeng Qiu 48 4 0 31 Oct 2022
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation Yunfan Shao Zhichao Geng Yitao Liu Junqi Dai Hang Yan Fei Yang Li Zhe Hujun Bao Xipeng Qiu MedIm 95 149 0 13 Sep 2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information Zijun Sun Xiaoya Li Xiaofei Sun Yuxian Meng Xiang Ao Qing He Leilei Gan Jiwei Li SSeg 93 188 0 30 Jun 2021
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking Heng-Da Xu Zhongli Li Qingyu Zhou Chao Li Zizhen Wang Yunbo Cao Heyan Huang Xian-Ling Mao 71 96 0 26 May 2021
Spelling Error Correction with Soft-Masked BERT Shaohua Zhang Haoran Huang Jicong Liu Hang Li 42 212 0 15 May 2020
Revisiting Pre-Trained Models for Chinese Natural Language Processing Yiming Cui Wanxiang Che Ting Liu Bing Qin Shijin Wang Guoping Hu 77 697 0 29 Apr 2020
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check Xingyi Cheng Weidi Xu Kunlong Chen Shaohua Jiang Feng Wang Taifeng Wang Wei Chu Yuan Qi 49 139 0 26 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 384 42,299 0 03 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 219 10,792 0 29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 377 20,053 0 23 Oct 2019
UER: An Open-Source Toolkit for Pre-training Models Zhe Zhao Hui Chen Jinbin Zhang Xin Zhao Tao Liu Wei Lu Xi Chen Haotang Deng Qi Ju Xiaoyong Du 42 114 0 12 Sep 2019
Glyce: Glyph-vectors for Chinese Character Representations Yuxian Meng Wei Wu Fei Wang Xiaoya Li Ping Nie J. Mei Muyu Li Qinghong Han Xiaofei Sun Jiwei Li VLM 56 192 0 29 Jan 2019
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding Hairong Liu Mingbo Ma Liang Huang Hao Xiong Zhongjun He AAML 69 59 0 15 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,511 0 11 Oct 2018
Glyph-aware Embedding of Chinese Characters Falcon Z. Dai Zheng Jon Cai 46 39 0 31 Aug 2017
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF Yan Shao Christian Hardmeier Jörg Tiedemann Joakim Nivre 62 106 0 05 Apr 2017
Radical-Enhanced Chinese Character Embedding Yaming Sun Lei Lin Duyu Tang Nan Yang Z. Ji Xiaolong Wang 87 117 0 18 Apr 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 363 33,500 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 633 31,469 0 16 Jan 2013