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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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Showing 21–30 of 100 papers

TitleStatusHype
A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models—0
Approximate Conditional Coverage & Calibration via Neural Model Approximations—0
Syntax-guided Contrastive Learning for Pre-trained Language Model—0
Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation—0
A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models—0
Multi-Class Grammatical Error Detection for Correction: A Tale of Two SystemsCode0
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors—0
Combining GCN and Transformer for Chinese Grammatical Error Detection—0
Assessing Grammatical Correctness in Language Learning—0
Chinese Grammatical Error Detection Based on BERT Model—0
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