Results 251 to 260 of about 58,487 (271)

Weaken Grammatical Error Influence in Chinese Grammatical Error Correction

2020
Chinese grammatical error correction (CGEC), a task of correcting grammatical errors in text, is treated as a translation task, where error sentences are “translated” to correct sentences. However, some grammatical errors in the training data can confuse the CGEC models and have negative influence in the “translating” process. In this paper, we propose
Jinggui Liang, Si Li
openaire   +1 more source

Generating artificial errors for grammatical error correction

Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
This paper explores the generation of artificial errors for correcting grammatical mistakes made by learners of English as a second language. Artificial errors are injected into a set of error-free sentences in a probabilistic manner using statistics from a corpus.
Mariano Felice, Zheng Yuan
openaire   +1 more source

Neural Grammatical Error Correction for Romanian

2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 2020
Resources for Grammatical Error Correction (GEC) in non-English languages are scarce, while available spellcheckers in these languages are mostly limited to simple corrections and rules. In this paper we introduce a first GEC corpus for Romanian consisting of 10k pairs of sentences.
Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu   +2 more
openaire   +1 more source

Automatic annotation of error types for grammatical error correction

2019
Grammatical Error Correction (GEC) is the task of automatically detecting and correcting grammatical errors in text. Although previous work has focused on developing systems that target specific error types, the current state of the art uses machine translation to correct all error types simultaneously.
openaire   +2 more sources

Artificial error generation for translation-based grammatical error correction

2016
Automated grammatical error correction for language learners has attracted a lot of attention in recent years, especially after a number of shared tasks that have encouraged research in the area. Treating the problem as a translation task from ‘incorrect’ into ‘correct’ English using statistical machine translation has emerged as a state-of-the-art ...
openaire   +1 more source

LET: Leveraging Error Type Information for Grammatical Error Correction

Findings of the Association for Computational Linguistics: ACL 2023, 2023
Lingyu Yang, Hongjia Li, Lei Li, Chengyin Xu, Shutao Xia, Chun Yuan   +5 more
openaire   +1 more source

Incorporating rich syntax information in Grammatical Error Correction

Information Processing and Management, 2022
Zuchao Li, Kevin Parnow, Hai Zhao
exaly  

Automatic Arabic Grammatical Error Correction based on Expectation-Maximization routing and target-bidirectional agreement

Knowledge-Based Systems, 2022
Aiman Solyman, Qian Tao
exaly  

Toward perfect neural cascading architecture for grammatical error correction

Applied Intelligence, 2020
Kingsley Nketia Acheampong, Wenhong Tian
exaly  

A Comprehensive Survey of Grammatical Error Correction

ACM Transactions on Intelligent Systems and Technology, 2021
exaly