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Grammatical Error Detection

Grammatical Error Detection (GED) is the task of detecting different kinds of errors in text such as spelling, punctuation, grammatical, and word choice errors. Grammatical error detection (GED) is one of the key component in grammatical error correction (GEC) community.

Papers

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TitleStatusHype
Exploiting Unlabeled Data for Neural Grammatical Error Detection—0
Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation—0
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors—0
Factored Statistical Machine Translation for Grammatical Error Correction—0
Generation of a Spanish Artificial Collocation Error Corpus—0
Grammatical Error Annotation for Korean Learners of Spoken English—0
Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language—0
Grammatical Error Correction as Multiclass Classification with Single Model—0
Grammatical Error Detection and Correction using a Single Maximum Entropy Model—0
Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning—0
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