Results 211 to 220 of about 3,453,209 (234)

GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning [PDF]

Lecture Notes in Computer Science, 2023
Grammatical error correction aims to correct ungrammatical sentences automatically. Recently, some work has demonstrated the excellent capabilities of closed-source Large Language Models (LLMs, e.g., ChatGPT) in grammatical error correction. However, the
Haizhou Li, Yaxin Fan
exaly   +2 more sources

A Sequence to Sequence Learning for Chinese Grammatical Error Correction

Lecture Notes in Computer Science, 2018
Grammatical Error Correction (GEC) is an important task in natural language processing. In this paper, we introduce our system on NLPCC 2018 Shared Task 2 Grammatical Error Correction. The task is to detect and correct grammatical errors that occurred in Chinese essays written by non-native speakers of Mandarin Chinese.
Liner Yang, Endong Xun
exaly   +2 more sources

Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data

ACM Transactions on Asian and Low-Resource Language Information Processing, 2023
In recent studies, pre-trained models and pseudo data have been key factors in improving the performance of the English grammatical error correction (GEC) task. However, few studies have examined the role of pre-trained models and pseudo data in the Chinese GEC task. Therefore, we develop Chinese GEC models based on
Mamoru Komachi, Michiki Kurosawa, Hongfei Wang   +2 more
exaly   +3 more sources

Dynamic Assessment-Based Curriculum Learning Method for Chinese Grammatical Error Correction

Electronics
Current mainstream for Chinese grammatical error correction methods rely on deep neural network models, which require a large amount of high-quality data for training.
Xiulei Liu, Zhiyuan Ma, Ruixue Duan
exaly   +2 more sources

A Chinese Grammatical Error Correction Model Based On Grammatical Generalization And Parameter Sharing

The Computer Journal, 2023
Abstract Chinese grammatical error correction (CGEC) is a significant challenge in Chinese natural language processing. Deep-learning-based models tend to have tens of millions or even hundreds of millions of parameters since they model the target task as a sequence-to-sequence problem.
Nankai Lin, Xiaotian Lin, Yingwen Fu, Shengyi Jiang, Lianxi Wang 0001   +4 more
openaire   +1 more source

Online Self-boost Learning for Chinese Grammatical Error Correction

Lecture Notes in Computer Science, 2022
Jiaying Xie, Kai Dang, Jie Liu 0007
exaly   +3 more sources

Heterogeneous Recycle Generation for Chinese Grammatical Error Correction

Proceedings of the 28th International Conference on Computational Linguistics, 2020
Most recent works in the field of grammatical error correction (GEC) rely on neural machine translation-based models. Although these models boast impressive performance, they require a massive amount of data to properly train. Furthermore, NMT-based systems treat GEC purely as a translation task and overlook the editing aspect of it.
Charles Hinson, Hen-Hsen Huang, Hsin-Hsi Chen   +2 more
openaire   +2 more sources

Chinese Grammatical Error Correction Using Statistical and Neural Models

Lecture Notes in Computer Science, 2018
This paper introduces the Alibaba NLP team’s system for NLPCC 2018 shared task of Chinese Grammatical Error Correction (GEC). Chinese as a Second Language (CSL) learners can use this system to correct grammatical errors in texts they wrote. We proposed a method to combine statistical and neural models for the GEC task.
Junpei Zhou, Chen Li, Hengyou Liu, Zuyi Bao, Guangwei Xu, Linlin Li 0001   +5 more
exaly   +3 more sources

Heterogeneous models ensemble for Chinese grammatical error correction

International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022), 2023
Yeling Liang, Lin Li
exaly   +2 more sources

RE2: improving Chinese grammatical error correction via retrieving appropriate examples with explanation

Frontiers of Computer Science
The primary objective of Chinese grammatical error correction (CGEC) is to detect and correct errors in Chinese sentences. Recent research shows that large language models (LLMs) have been applied to CGEC with significant results. For LLMs, selecting appropriate reference examples can help improve their performance.
Shijin Wang, Baoxin Wang
exaly   +4 more sources