Grammatical error correction: A survey of the state of the art
Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …
correcting errors in text. The task not only includes the correction of grammatical errors, such …
Multi-class grammatical error detection for correction: A tale of two systems
In this paper, we show how a multi-class grammatical error detection (GED) system can be
used to improve grammatical error correction (GEC) for English. Specifically, we first develop …
used to improve grammatical error correction (GEC) for English. Specifically, we first develop …
Calibrating llms with preference optimization on thought trees for generating rationale in science question scoring
Generating rationales that justify scoring decisions has been a promising way to facilitate
explainability in automated scoring systems. However, existing methods do not match the …
explainability in automated scoring systems. However, existing methods do not match the …
On the correction of errors in English grammar by deep learning
Y Zhong, X Yue - Journal of Intelligent Systems, 2022 - degruyter.com
Using computer programs to correct English grammar can improve the efficiency of English
grammar correction, improve the effect of error correction, and reduce the workload of …
grammar correction, improve the effect of error correction, and reduce the workload of …
Grammatical error correction as GAN-like sequence labeling
In Grammatical Error Correction (GEC), sequence labeling models enjoy fast inference
compared to sequence-to-sequence models; however, inference in sequence labeling GEC …
compared to sequence-to-sequence models; however, inference in sequence labeling GEC …
Context-aware adversarial graph-based learning for multilingual grammatical error correction
N Kumar, P Kumar, S Tripathy, N Samal… - ACM Transactions On …, 2024 - dl.acm.org
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 …
in the field of natural language processing, commonly referred to as Multilingual …
LET: Leveraging error type information for grammatical error correction
L Yang, H Li, L Li, C Xu, S Xia… - Findings of the Association …, 2023 - aclanthology.org
Grammatical error correction (GEC) aims to correct errors in given sentences and is
significant to many downstream natural language understanding tasks. Recent work …
significant to many downstream natural language understanding tasks. Recent work …
GPT-3.5 for Grammatical Error Correction
A Katinskaia, R Yangarber - arXiv preprint arXiv:2405.08469, 2024 - arxiv.org
This paper investigates the application of GPT-3.5 for Grammatical Error Correction (GEC) in
multiple languages in several settings: zero-shot GEC, fine-tuning for GEC, and using GPT …
multiple languages in several settings: zero-shot GEC, fine-tuning for GEC, and using GPT …
Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models
Abstract Grammatical Error Correction (GEC) aims to correct grammatical errors in
sentences. We find that autoregressive models tend to assign low probabilities to tokens that …
sentences. We find that autoregressive models tend to assign low probabilities to tokens that …
Технологія виправлення граматичних помилок в україномовному текстовому контенті на основі методів машинного навчання
N Kholodna - Radio Electronics, Computer Science, Control, 2023 - ric.zp.edu.ua
Висновки. Створена модель показує відмінні результати класифікації на тестових
даних. Розраховані метрики якості машинного перекладу дають змогу лише частково …
даних. Розраховані метрики якості машинного перекладу дають змогу лише частково …