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 +3 more
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Research progress on Chinese and English text error correction [PDF]
ITM Web of ConferencesText 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
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Czech Grammar Error Correction with a Large and Diverse Corpus
Transactions 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
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New Technique to Enhance the Performance of Spoken Dialogue Systems by Means of Implicit Recovery of ASR Errors [PDF]
, 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
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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 ...
Kantor, Yoav +7 more
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A Two-Stage Model for Chinese Grammatical Error Correction
IEEE 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
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JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction
, 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
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The effect of written corrective feedback on grammatical accuracy of EFL students: An improvement over previous unfocused designs [PDF]
Iranian 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
A Nested Attention Neural Hybrid Model for Grammatical Error Correction
, 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
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The prompt hypothesis: clarification requests as corrective input for grammatical errors [PDF]
, 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
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