Results 1 to 10 of about 1,814 (232)

Evaluating LLMs' grammatical error correction performance in learner Chinese. [PDF]

open access: yesPLoS ONE
Large language models (LLMs) have recently exhibited significant capabilities in various English NLP tasks. However, their performance in Chinese grammatical error correction (CGEC) remains unexplored.
Sha Lin
doaj   +5 more sources

A Chinese Grammatical Error Correction Method Based on Iterative Training and Sequence Tagging

open access: yesApplied Sciences, 2022
Chinese grammatical error correction (GEC) is under continuous development and improvement, and this is a challenging task in the field of natural language processing due to the high complexity and flexibility of Chinese grammar.
Hailan Kuang   +3 more
doaj   +5 more sources

A Two-Stage Model for Chinese Grammatical Error Correction [PDF]

open access: yesIEEE Access, 2019
Chinese grammatical error correction (GEC) is more challenging than English GEC due to its language characteristics. In this paper, a two-stage model was proposed to solve the Chinese GEC problem.
Zhaoquan Qiu, Youli Qu
doaj   +4 more sources

Chinese Grammatical Error Correction Based on Convolutional Sequence to Sequence Model [PDF]

open access: yesIEEE Access, 2019
Chinese grammatical error correction (CGEC) is practically useful for learners of Chinese as a second language, but it is a rather challenging task due to the complex and flexible nature of Chinese language so that existing methods for English cannot be ...
Si Li   +7 more
doaj   +4 more sources

Automatic Correction of Indonesian Grammatical Errors Based on Transformer

open access: yesApplied Sciences, 2022
Grammatical error correction (GEC) is one of the major tasks in natural language processing (NLP) which has recently attracted great attention from researchers.
Ahmad Musyafa   +4 more
doaj   +2 more sources

Grammar Correction for Multiple Errors in Chinese Based on Prompt Templates

open access: yesApplied Sciences, 2023
Grammar error correction (GEC) is a crucial task in the field of Natural Language Processing (NLP). Its objective is to automatically detect and rectify grammatical mistakes in sentences, which possesses immense application research value.
Zhici Wang   +4 more
doaj   +2 more sources

Pre-Training-Based Grammatical Error Correction Model for the Written Language of Chinese Hearing Impaired Students

open access: yesIEEE Access, 2022
Grammatical error correction has been considered as an application closely related to daily life and an important shared task in many prestigious competitions and workshops.
Binbin Chen, Jingyu Zhang
doaj   +3 more sources

Chinese Grammatical Error Correction Based on Grammatical Knowledge Enhancement [PDF]

open access: yesJisuanji gongcheng, 2023
The aim of grammatical error correction is to judge whether natural language texts contain grammatical errors, to correct them. In recent years, with the rapid development of pre-trained language models, methods based on such models have been widely used
Qian DENG, Shu CHEN, Junmin YE
doaj   +1 more source

Method for Chinese Grammar Error Detection Integrating ELECTRA and Text Local Information [PDF]

open access: yesJisuanji gongcheng, 2023
Grammar error detection is a basic task in natural language processing.The task aims to automatically identify typos, grammar, and word order errors in text.Compared with other languages, Chinese grammar is flexible and lacks symbolic information such as
CHEN Bailin, WANG Tianji, REN Lina, HUANG Ruizhang
doaj   +1 more source

Unsupervised Grammatical Correction With Optimized Layer Normalization and Dynamic Embedding Enhancement

open access: yesIEEE Access, 2023
Grammatical error correction aims to detect and correct grammatical errors with all types of mistaken, disordered, missing, and redundant characters. However, most existing methods focus more on detecting errors than correcting them.
Yin Wang, Zhenghan Chen
doaj   +1 more source

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