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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 41–50 of 100 papers

TitleStatusHype
A Hybrid Approach Combining Statistical Knowledge with Conditional Random Fields for Chinese Grammatical Error Detection—0
Neural sequence modelling for learner error prediction—0
Building a TOCFL Learner Corpus for Chinese Grammatical Error Diagnosis—0
Generation of a Spanish Artificial Collocation Error Corpus—0
Neural Multi-task Learning in Automated Assessment—0
Grammatical Error Detection Using Error- and Grammaticality-Specific Word EmbeddingsCode0
Collecting fluency corrections for spoken learner English—0
Auxiliary Objectives for Neural Error Detection Models—0
Artificial Error Generation with Machine Translation and Syntactic Patterns—0
Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM—0
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