Results 21 to 30 of about 2,197,203 (280)
ChatGPT for Arabic Grammatical Error Correction
CoRR, 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.
Sang Yun Kwon +3 more
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Spoken Language ‘Grammatical Error Correction’ [PDF]
Interspeech 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
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Supervised Copy Mechanism for Grammatical Error Correction
IEEE 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
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EXPLORING EFL LEARNERS’ GRAMMATICAL ERROR IN PARAGRAPH WRITING [PDF]
, 2020 Writing is the most difficult skill in English, so most English as a foreign language (EFL) learners tend to make errors in writing. In assisting the learners to sucessfully acquire writing skill, the analysis of errors and the understanding of their ...
Cahyani, Dian Anik, Rizaldi, Aditya
core +1 more source
IEEE 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
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Grammatical Error Correction: A Survey of the State of the Art
Computational Linguistics, 2023 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 as missing prepositions and mismatched subject–verb agreement, but also orthographic and semantic errors, such as misspellings and word choice errors ...
Christopher Bryant +5 more
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Method for Chinese Grammar Error Detection Integrating ELECTRA and Text Local Information [PDF]
Jisuanji gongcheng, 2023 Grammar error detection is a basic task in natural language processing.The task aims to automatically identify typos, grammar, and word order errors in text.Compared with other languages, Chinese grammar is flexible and lacks symbolic information such as
CHEN Bailin, WANG Tianji, REN Lina, HUANG Ruizhang
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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
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Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios [PDF]
PeerJ Computer Science, 2023 The correction of grammatical errors in natural language processing is a crucial task as it aims to enhance the accuracy and intelligibility of written language.
Zeinab Mahmoud +6 more
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Revisiting Meta-evaluation for Grammatical Error Correction
Transactions of the Association for Computational LinguisticsAbstract Metrics are the foundation for automatic evaluation in grammatical error correction (GEC), with their evaluation of the metrics (meta-evaluation) relying on their correlation with human judgments. However, conventional meta-evaluations in English GEC encounter several challenges, including biases caused by inconsistencies in ...
Masamune Kobayashi +2 more
doaj +5 more sources