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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

Showing 5175 of 100 papers

TitleStatusHype
Grammatical error detection in transcriptions of spoken English0
Grammatical Error Detection Using Tagger Disagreement0
IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator0
Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation0
Joint English Spelling Error Correction and POS Tagging for Language Learners Writing0
Language Family Relationship Preserved in Non-native English0
LinggleWrite: a Coaching System for Essay Writing0
Model Combination for Correcting Preposition Selection Errors0
Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection0
NAIST at the HOO 2012 Shared Task0
NAIST at the NLI 2013 Shared Task0
Neural Models for Predicting Celtic Mutations0
Neural Multi-task Learning in Automated Assessment0
Neural sequence modelling for learner error prediction0
Oddballness: universal anomaly detection with language models0
Overview of the NLP-TEA 2015 Shared Task for Chinese Grammatical Error Diagnosis0
Precision Isn't Everything: A Hybrid Approach to Grammatical Error Detection0
Problems in Evaluating Grammatical Error Detection Systems0
RACAI GEC -- A hybrid approach to Grammatical Error Correction0
Semi-automatically Annotated Learner Corpus for Russian0
Shallow Semantic Analysis of Interactive Learner Sentences0
Shallow Semantic Reasoning from an Incomplete Gold Standard for Learner Language0
Syntax-guided Contrastive Learning for Pre-trained Language Model0
The AIP-Tohoku System at the BEA-2019 Shared Task0
The Construction of a Chinese Collocational Knowledge Resource and Its Application for Second Language Acquisition0
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