Results 41 to 50 of about 284,138 (314)

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, Riedel, Sebastian, Stenetorp, Pontus   +2 more
core   +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, Ramsha Saeed, Noorulain Saleem Khan, Kiran Habib, Pernia Gabrail, Fareeha Aftab   +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, Gillholm, Katarina, Kurfalı, Murathan, Mattson, Marie, Wirén, Mats   +4 more
openaire   +3 more sources

Identification and Correction of Grammatical Errors in Ukrainian Texts Based on Machine Learning Technology

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, Petro Pukach, Victoria Vysotska, Myroslava Vovk, Nataliia Kholodna   +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, Bhatia, Gagan, Nagoud, El Moatez Billah, Abdul-Mageed, Muhammad   +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, Peter Phandi, Hwee Tou Ng   +2 more
openaire   +1 more source

ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Currently available grammatical error correction (GEC) datasets are compiled using well-formed written text, limiting the applicability of these datasets to other domains such as informal writing and dialog. In this paper, we present a novel parallel GEC dataset drawn from open-domain chatbot conversations; this dataset is, to our knowledge, the first ...
Yuan, Xun, Pham, Derek, Davidson, Sam, Yu, Zhou   +3 more
openaire   +2 more sources

Metalinguistic Knowledge and Language Ability in University-Level L2 Learners [PDF]

, 2007
Existing research indicates that instructed learners' L2 proficiency and their metalinguistic knowledge are moderately correlated. However, the operationalization of the construct of metalinguistic knowledge has varied somewhat across studies ...
Alderson, Anderson, Anderson, Bachman, Bialystok, Bialystok, Butler, Carroll, Carroll, Carroll, Carroll, Clapham, Collentine, Colman, de Bot, DeKeyser, DeKeyser, Dirven, Dreyer, Durrell, Durrell, Dörnyei, Dörnyei, Elder, Elder, Ellis, Ellis, Ellis, Ellis, Ellis, Erlam, Field, Green, Hatch, Hu, Hulstijn, Karen Roehr, Klapper, Macaro, McDonough, Nagata, O’Malley, Pallant, Paradis, Ranta, Renou, Robinson, Robinson, Robinson, Sawyer, Skehan, Skehan, Skehan, Skehan, Sorace, Swan, Taylor, Westney   +57 more
core   +1 more source

Research progress on Chinese and English text error correction [PDF]

ITM Web of Conferences
Text error correction is an essential task in natural language processing (NLP) that focuses on automatically identifying and correcting errors in written text. With the increasing amount of digital text in both Chinese and English, errors such as typos,
Wang Yao
doaj   +1 more source