Results 281 to 290 of about 284,138 (314)

LLM-based Code-Switched Text Generation for Grammatical Error Correction

Conference on Empirical Methods in Natural Language Processing
With the rise of globalisation, code-switching (CSW) has become a ubiquitous part of multilingual conversation, posing new challenges for natural language processing (NLP), especially in Grammatical Error Correction (GEC).
Tom Potter, Zheng Yuan
semanticscholar   +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

Detection-Correction Structure via General Language Model for Grammatical Error Correction

Annual Meeting of the Association for Computational Linguistics
Grammatical error correction (GEC) is a task dedicated to rectifying texts with minimal edits, which can be decoupled into two components: detection and correction.
Wei Li, Houfeng Wang
semanticscholar   +1 more source

Context-Aware Adversarial Graph-Based Learning for Multilingual Grammatical Error Correction

ACM Trans. Asian Low Resour. Lang. Inf. Process.
Correcting grammatical errors in various language contexts is a crucial and challenging task in the field of natural language processing, commonly referred to as Multilingual Grammatical Error Correction.
Naresh Kumar, Parveen Kumar, Sushreeta Tripathy, Neelamani Samal, Debasis Gountia, Praveen Gatla, Teekam Singh   +6 more
semanticscholar   +1 more source

Grammatical Error Correction for Low-Resource Languages: The Case of Zarma

arXiv.org
Grammatical error correction (GEC) aims to improve text quality and readability. Previous work on the task focused primarily on high-resource languages, while low-resource languages lack robust tools.
Mamadou K. Keita, Christopher Homan, Sofiane Hamani, Adwoa Bremang, Marcos Zampieri, Habibatou Abdoulaye Alfari, Elysabhete Amadou Ibrahim, D. Owusu   +7 more
semanticscholar   +1 more source

Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction

North American Chapter of the Association for Computational Linguistics
In the era of large language models (LLMs), in-context learning (ICL) stands out as an effective prompting strategy that explores LLMs’ potency across various tasks. However, applying LLMs to grammatical error correction (GEC) is still a challenging task.
Chenming Tang, Fanyi Qu, Yunfang Wu
semanticscholar   +1 more source

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

Realizing repeated quantum error correction in a distance-three surface code

Nature, 2022
Sebastian Krinner, Nathan Lacroix, Ants Remm   +2 more
exaly  

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

Exponential suppression of bit or phase errors with cyclic error correction

Nature, 2021
Kevin J Satzinger, Andrew Dunsworth, Daniel Sank   +2 more
exaly