Results 21 to 30 of about 284,138 (314)

Pre-Training-Based Grammatical Error Correction Model for the Written Language of Chinese Hearing Impaired Students

open access: yesIEEE Access, 2022
Grammatical error correction has been considered as an application closely related to daily life and an important shared task in many prestigious competitions and workshops.
Binbin Chen, Jingyu Zhang
doaj   +1 more source

K-NCT: Korean Neural Grammatical Error Correction Gold-Standard Test Set Using Novel Error Type Classification Criteria

open access: yesIEEE Access, 2022
Recently, active research has been conducted on Korean grammatical error correction on machine translation (MT) and automatic noise generation. However, there is no gold-standard test set for objective and official comparative analysis.
Seonmin Koo   +6 more
doaj   +1 more source

An Automatic Error Detection Method for Machine Translation Results via Deep Learning

open access: yesIEEE Access, 2023
Nowadays, the rapid development of natural language processing has brought great progress for the area of machine translation. Various deep neural network-based machine translation approaches have been more and more general.
Weihong Zhang
doaj   +1 more source

Spoken Language ‘Grammatical Error Correction’ [PDF]

open access: yesInterspeech 2020, 2020
Spoken language ‘grammatical error correction’ (GEC) is an important mechanism to help learners of a foreign language, here English, improve their spoken grammar. GEC is challeng- ing for non-native spoken language due to interruptions from disfluent speech events such as repetitions and false starts and issues in strictly defining what is acceptable ...
Lu, Yiting, Gales, Mark JF, Wang, Yu
openaire   +1 more source

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation [PDF]

open access: yesarXiv.org, 2023
ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks.
Tao Fang   +6 more
semanticscholar   +1 more source

Supervised Copy Mechanism for Grammatical Error Correction

open access: yesIEEE Access, 2023
AI has introduced a new reform direction for traditional education, such as automating Grammatical Error Correction (GEC) to reduce teachers’ workload and improve efficiency.
Kamal Al-Sabahi, Kang Yang
doaj   +1 more source

ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark [PDF]

open access: yesarXiv.org, 2023
ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering follow-up questions.
Hao Wu   +4 more
semanticscholar   +1 more source

Grammatical Error Correction: A Survey of the State of the Art [PDF]

open access: yesComputational Linguistics, 2023
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 as missing prepositions and mismatched subject–verb agreement, but also ...
Christopher Bryant   +5 more
doaj   +2 more sources

Towards Lithuanian Grammatical Error Correction

open access: yes, 2022
Everyone wants to write beautiful and correct text, yet the lack of language skills, experience, or hasty typing can result in errors. By employing the recent advances in transformer architectures, we construct a grammatical error correction model for Lithuanian, the language rich in archaic features.
Lukas Stankevičius   +1 more
openaire   +2 more sources

Unsupervised Grammatical Correction With Optimized Layer Normalization and Dynamic Embedding Enhancement

open access: yesIEEE Access, 2023
Grammatical error correction aims to detect and correct grammatical errors with all types of mistaken, disordered, missing, and redundant characters. However, most existing methods focus more on detecting errors than correcting them.
Yin Wang, Zhenghan Chen
doaj   +1 more source

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