Results 21 to 30 of about 9,958 (247)

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
openaire   +1 more source

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, Zheng Yuan, Muhammad Reza Qorib, Hannan Cao, Hwee Tou Ng, Ted Briscoe   +5 more
doaj   +3 more sources

Unsupervised Grammatical Correction With Optimized Layer Normalization and Dynamic Embedding Enhancement

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
doaj   +1 more source

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
doaj   +1 more source

Revisiting Meta-evaluation for Grammatical Error Correction

Transactions of the Association for Computational Linguistics
Abstract 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, Masato Mita, Mamoru Komachi   +2 more
doaj   +3 more sources

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, Chunlin Li, Marco Zappatore, Aiman Solyman, Ali Alfatemi, Ashraf Osman Ibrahim, Abdelzahir Abdelmaboud   +6 more
doaj   +2 more sources

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, Gagan Bhatia, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed   +3 more
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Cross-Sentence Grammatical Error Correction [PDF]

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
Automatic grammatical error correction (GEC) research has made remarkable progress in the past decade. However, all existing approaches to GEC correct errors by considering a single sentence alone and ignoring crucial cross-sentence context. Some errors can only be corrected reliably using cross-sentence context and models can also benefit from the ...
Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng   +2 more
openaire   +1 more source

Neural Grammatical Error Correction for Romanian

2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 2020
Resources for Grammatical Error Correction (GEC) in non-English languages are scarce, while available spellcheckers in these languages are mostly limited to simple corrections and rules. In this paper we introduce a first GEC corpus for Romanian consisting of 10k pairs of sentences.
Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu   +2 more
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Learning to combine Grammatical Error Corrections [PDF]

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019
BEA ...
Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim   +7 more
openaire   +2 more sources