
Personalizing Grammatical Error Correction: Adaptation to Proficiency
Level and L1
Papers citing "Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1"
11 / 11 papers shown
Title |
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![]() NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from
Native Speaker TextsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
![]() Grammatical Error Correction: A Survey of the State of the ArtComputational Linguistics (CL), 2022 |











