Results 51 to 60 of about 284,138 (314)

Czech Grammar Error Correction with a Large and Diverse Corpus

open access: yesTransactions of the Association for Computational Linguistics, 2022
We introduce a large and diverse Czech corpus annotated for grammatical error correction (GEC) with the aim to contribute to the still scarce data resources in this domain for languages other than English.
Jakub Náplava   +3 more
doaj   +1 more source

Learning to combine Grammatical Error Corrections [PDF]

open access: yesProceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019
BEA ...
Kantor, Yoav   +7 more
openaire   +2 more sources

A Two-Stage Model for Chinese Grammatical Error Correction

open access: yesIEEE Access, 2019
Chinese grammatical error correction (GEC) is more challenging than English GEC due to its language characteristics. In this paper, a two-stage model was proposed to solve the Chinese GEC problem.
Zhaoquan Qiu, Youli Qu
doaj   +1 more source

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

open access: yes, 2017
We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for developing and evaluating grammatical error correction (GEC). Unlike other corpora, it represents a broad range of language proficiency levels and uses holistic fluency edits ...
Napoles, Courtney   +2 more
core   +1 more source

Transformers to the rescue: alleviating data scarcity in arabic grammatical error correction with pre-trained models

open access: yesNeural computing & applications (Print)
Grammatical error correction (GEC) in Arabic presents unique challenges arising from complex morphology and contextual intricacies. Current methodologies predominantly rely on neural machine translation (NMT) models, hindered by adequately annotated ...
K. Ismail   +3 more
semanticscholar   +1 more source

A Nested Attention Neural Hybrid Model for Grammatical Error Correction

open access: yes, 2017
Grammatical error correction (GEC) systems strive to correct both global errors in word order and usage, and local errors in spelling and inflection. Further developing upon recent work on neural machine translation, we propose a new hybrid neural model ...
Gao, Jianfeng   +5 more
core   +1 more source

The prompt hypothesis: clarification requests as corrective input for grammatical errors [PDF]

open access: yes, 2005
The potential of clarification questions (CQs) to act as a form of corrective input for young children's grammatical errors was examined. Corrective responses were operationalized as those occasions when child speech shifted from erroneous to correct (E -
Dawson, Natasha   +2 more
core   +2 more sources

The effect of written corrective feedback on grammatical accuracy of EFL students: An improvement over previous unfocused designs [PDF]

open access: yesIranian Journal of Language Teaching Research, 2016
The effectiveness of written corrective feedback (WCF) in the improvement of language learners' grammatical accuracy has been a topic of interest in SLA studies for the past couple of decades.
Mobin Khanlarzadeh, Majid Nemati
doaj  

New Technique to Enhance the Performance of Spoken Dialogue Systems by Means of Implicit Recovery of ASR Errors [PDF]

open access: yes, 2010
This paper proposes a new technique to implicitly correct some ASR errors made by spoken dialogue systems, which is implemented at two levels: statistical and linguistic. The goal of the former level is to employ for the correction knowledge extracted
Griol, David   +2 more
core   +1 more source

Optimizing the impact of data augmentation for low-resource grammatical error correction

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Grammatical Error Correction (GEC) refers to the automatic identification and amendment of grammatical, spelling, punctuation, and word-positioning errors in monolingual texts.
Aiman Solyman   +6 more
doaj   +1 more source

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