Results 31 to 40 of about 58,487 (271)
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection [PDF]
, 2018 Grammatical error correction, like other machine learning tasks, greatly benefits from large quantities of high quality training data, which is typically expensive to produce. While writing a program to automatically generate realistic grammatical errors
Kasewa, Sudhanshu +2 more
core +2 more sources
Automatic Correction of Indonesian Grammatical Errors Based on Transformer
Applied Sciences, 2022 Grammatical error correction (GEC) is one of the major tasks in natural language processing (NLP) which has recently attracted great attention from researchers.
Ahmad Musyafa +4 more
doaj +1 more source
Studies in Second Language Learning and Teaching, 2022 This study compared the effects of computer-mediated (CM) versus pen-and-paper (P&P) writing on written accuracy and feedback processing in tasks written and rewritten collaboratively following a pedagogical treatment in two intact authentic classrooms ...
Belén González-Cruz +2 more
doaj +1 more source
Mining Error Templates for Grammatical Error Correction
, 2022 Some grammatical error correction (GEC) systems incorporate hand-crafted rules and achieve positive results. However, manually defining rules is time-consuming and laborious. In view of this, we propose a method to mine error templates for GEC automatically. An error template is a regular expression aiming at identifying text errors.
Zhang, Yue +5 more
openaire +2 more sources
Automated Grammatical Error Correction:A Comprehensive Review
NUST Journal of Engineering Sciences, 2018 Automatic Grammatical Error Correction is one of the most challenging and continuously evolving areas of linguistics which aims at automatically detecting and correcting the grammatical errors in the text.
Sadaf Abdul Rauf +5 more
doaj +1 more source
The Effect of Considering Students' Attitudes Towards Methods of Error Correction on the Grammatical Accuracy of their English Writing [PDF]
Teaching English Language, 2007 An extremely important issue in any approach of teaching and learning second/foreign language is that students receive feedback on their activities in second/foreign language learning milieu.
Hossein Khodabakhshzade
doaj +1 more source
Evaluation of really good grammatical error correction
, 2023 Although rarely stated, in practice, Grammatical Error Correction (GEC) encompasses various models with distinct objectives, ranging from grammatical error detection to improving fluency. Traditional evaluation methods fail to fully capture the full range of system capabilities and objectives.
Östling, Robert +4 more
openaire +3 more sources
Mathematics, 2023 A machine learning model for correcting errors in Ukrainian texts has been developed. It was established that the neural network has the ability to correct simple sentences written in Ukrainian; however, the development of a full-fledged system requires ...
Vasyl Lytvyn +4 more
doaj +1 more source
ChatGPT for Arabic Grammatical Error Correction
, 2023 Recently, large language models (LLMs) fine-tuned to follow human instruction have exhibited significant capabilities in various English NLP tasks. However, their performance in grammatical error correction (GEC) tasks, particularly in non-English languages, remains significantly unexplored.
Kwon, Sang Yun +3 more
openaire +2 more sources
System Combination for Grammatical Error Correction [PDF]
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014 Different approaches to high-quality grammatical error correction have been proposed recently, many of which have their own strengths and weaknesses. Most of these approaches are based on classification or statistical machine translation (SMT). In this paper, we propose to combine the output from a classification-based system and an SMT-based system to
Raymond Hendy Susanto +2 more
openaire +1 more source