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In this paper, we explore the capacity of a language model-based method for grammatical error detection in detail.
The aquaint corpus of english news text, 2002
Graff, D · 2002
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A new horizon in learner corpus studies: The aim of the ICNALE project
Ishikawa, S · 2011
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Reconstructing an Indo-European family tree from non-native English texts
Nagata, R., and Whittaker, E · 2013
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Automatic annotation and evaluation of error types for grammatical error correction
Bryant, C., Felice, M., and Briscoe, T · 2017
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Semi-supervised multitask learning for sequence labeling
Rei, M · 2017
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Auxiliary objectives for neural error detection models
Rei, M., and Yannakoudakis, H · 2017
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Contextual string embeddings for sequence labeling
Akbik, A., Blythe, D., and Vollgraf, R · 2018
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Flair: An easy-to-use framework for state-of-the-art nlp
Akbik, A., Bergmann, T., Blythe, D., Rasul, K., Schweter, S., and Vollgraf, R · 2019
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Context is key: Grammatical error detection with contextual word representations
Bell, S., Yannakoudakis, H., and Rei, M · 2019
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Multi-headed architecture based on BERT for grammatical errors correction
Didenko, B., and Shaptala, J · 2019
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Toward a task of feedback comment generation for writing learning
Nagata, R · 2019
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Chinese grammatical error detection based on BERT model
Cheng, Y., and Duan, M · 2020
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What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Ettinger, A · 2020
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Encoder-decoder models can benefit from pre-trained masked language models in grammatical error correction
Kaneko, M., Mita, M., Kiyono, S., Suzuki, J., and Inui, K · 2020
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Creating Corpora for Research in Feedback Comment Generation
Nagata, R., Inui, K., and Ishikawa, S · 2020
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BLiMP: The benchmark of linguistic minimal pairs for English
Warstadt, A., Parrish, A., Liu, H., Mohananey, A., Peng, W., Wang, S.-F., and Bowman, S. R · 2020
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How is BERT surprised? layerwise detection of linguistic anomalies
Li, B., Zhu, Z., Thomas, G., Xu, Y., and Rudzicz, F · 2021
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Do grammatical error correction models realize grammatical generalization?
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Multi-head multi-layer attention to deep language representations for grammatical error detection
Kaneko, M., and Komachi, M
Cited in the paper.
Mita, M., and Yanaka, H · 2021
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