Results 21 to 30 of about 30,956 (156)
Automated Grammatical Error Correction:A Comprehensive Review
NUST Journal of Engineering Sciences, 2018 Automatic Grammatical Error Correction is one of the most challenging and continuously evolving areas of linguistics which aims at automatically detecting and correcting the grammatical errors in the text.
Sadaf Abdul Rauf +5 more
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Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings
Journal of Natural Language Processing, 2018 In this study, we improve grammatical error detection by learning word embeddings that consider grammaticality and error patterns. Most existing algorithms for learning word embeddings usually model only the syntactic context of words so that classifiers treat erroneous and correct words as similar inputs.
Masahiro Kaneko +2 more
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Minimally-Augmented Grammatical Error Correction [PDF]
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), 2019 There has been an increased interest in low-resource approaches to automatic grammatical error correction. We introduce Minimally-Augmented Grammatical Error Correction (MAGEC) that does not require any error-labelled data. Our unsupervised approach is based on a simple but effective synthetic error generation method based on confusion sets from ...
Roman Grundkiewicz +1 more
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Scrutinizing Grammatical Challenges within Indonesian-developed Mobile Game: ‘Code Atma’
LET: Linguistics, Literature and English Teaching Journal, 2022 The use of another language can cause barriers to transferring ideas from one language to another, such as grammatical challenges. It happens when the structures for delivering information are different within languages.
Erina Andriani
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Cognitive Studies | Études cognitives, 2022 The reviewed monograph is one of the few publications on error analysis approach to teaching grammar of Polish as a foreign language. The book provides an extensive theoretical study of errors from several perspectives (linguistic, psycholinguistic ...
Liliya Morska
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, 2020 I have made many grammatical errors in my writing, and probably, you can find them in this one.
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Arabic Grammatical Error Detection Using Transformers-based Pretrained Language Models [PDF]
ITM Web of Conferences, 2023 This paper presents a new study to use pre-trained language models based on the transformers for Arabic grammatical error detection (GED). We proposed fine-tuned language models based on pre-trained language models called AraBERT and M-BERT to perform ...
AlOyaynaa Sarah, Kotb Yasser
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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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The Grammatical Error Analysis Found in Students’ Composition
Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya, 2020 Grammar is an important language component to enhance students’ language proficiency. However, many students still make grammatical errors in writing their essays. This research aims at analyzing types of grammatical errors found in students’ essays. The
Tri Jampi Setiyorini +2 more
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Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality [PDF]
Transactions of the Association for Computational Linguistics, 2016 The field of grammatical error correction (GEC) has grown substantially in recent years, with research directed at both evaluation metrics and improved system performance against those metrics. One unvisited assumption, however, is the reliance of GEC evaluation on error-coded corpora, which contain specific labeled corrections.
Keisuke Sakaguchi +3 more
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