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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 51–60 of 100 papers

TitleStatusHype
Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM—0
The Construction of a Chinese Collocational Knowledge Resource and Its Application for Second Language Acquisition—0
Chinese Grammatical Error Diagnosis Using Single Word Embedding—0
Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis—0
Word Order Sensitive Embedding Features/Conditional Random Field-based Chinese Grammatical Error Detection—0
Automatic Grammatical Error Detection for Chinese based on Conditional Random Field—0
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs—0
Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning—0
Exploiting Unlabeled Data for Neural Grammatical Error Detection—0
Attending to Characters in Neural Sequence Labeling Models—0
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