Linguistic rules-based corpus generation for native Chinese grammatical error correction
Chinese Grammatical Error Correction (CGEC) is both a challenging NLP task and a
common application in human daily life. Recently, many data-driven approaches are …
common application in human daily life. Recently, many data-driven approaches are …
Grammargpt: Exploring open-source llms for native chinese grammatical error correction with supervised fine-tuning
Grammatical error correction aims to correct ungrammatical sentences automatically.
Recently, some work has demonstrated the excellent capabilities of closed-source Large …
Recently, some work has demonstrated the excellent capabilities of closed-source Large …
Correct Like Humans: Progressive Learning Framework for Chinese Text Error Correction
Abstract Chinese Text Error Correction (CTEC) aims to detect and correct errors in the input
text, which benefits human daily life and various downstream tasks. Recent approaches …
text, which benefits human daily life and various downstream tasks. Recent approaches …
Mask the correct tokens: An embarrassingly simple approach for error correction
Text error correction aims to correct the errors in text sequences such as those typed by
humans or generated by speech recognition models. Previous error correction methods …
humans or generated by speech recognition models. Previous error correction methods …
NaSGEC: a multi-domain Chinese grammatical error correction dataset from native speaker texts
We introduce NaSGEC, a new dataset to facilitate research on Chinese grammatical error
correction (CGEC) for native speaker texts from multiple domains. Previous CGEC research …
correction (CGEC) for native speaker texts from multiple domains. Previous CGEC research …
Non-autoregressive text editing with copy-aware latent alignments
Recent work has witnessed a paradigm shift from Seq2Seq to Seq2Edit in the field of text
editing, with the aim of addressing the slow autoregressive inference problem posed by the …
editing, with the aim of addressing the slow autoregressive inference problem posed by the …
From spelling to grammar: A new framework for chinese grammatical error correction
X Wu, Y Wu - arXiv preprint arXiv:2211.01625, 2022 - arxiv.org
Chinese Grammatical Error Correction (CGEC) aims to generate a correct sentence from an
erroneous sequence, where different kinds of errors are mixed. This paper divides the …
erroneous sequence, where different kinds of errors are mixed. This paper divides the …
Supervised Copy Mechanism for Grammatical Error Correction
K Al-Sabahi, K Yang - IEEE Access, 2023 - ieeexplore.ieee.org
AI has introduced a new reform direction for traditional education, such as automating
Grammatical Error Correction (GEC) to reduce teachers' workload and improve efficiency …
Grammatical Error Correction (GEC) to reduce teachers' workload and improve efficiency …
Multi-head sequence tagging model for Grammatical Error Correction
K Al-Sabahi, K Yang, W Liu, G Jiang, X Li… - … Applications of Artificial …, 2024 - Elsevier
Abstract To solve the Grammatical Error Correction (GEC) problem, a mapping between a
source sequence and a target one is needed, where the two differ only on few spans. For …
source sequence and a target one is needed, where the two differ only on few spans. For …
Text editing as imitation game
Text editing, such as grammatical error correction, arises naturally from imperfect textual
data. Recent works frame text editing as a multi-round sequence tagging task, where …
data. Recent works frame text editing as a multi-round sequence tagging task, where …