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Neural Quality Estimation of Grammatical Error Correction.

, and . EMNLP, page 2528-2539. Association for Computational Linguistics, (2018)

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A Reassessment of Reference-Based Grammatical Error Correction Metrics., and . COLING, page 2730-2741. Association for Computational Linguistics, (2018)Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations., , , and . EMNLP, page 12257-12265. Association for Computational Linguistics, (2023)Lexically Constrained Neural Machine Translation with Levenshtein Transformer., , and . ACL, page 3536-3543. Association for Computational Linguistics, (2020)Neural Network Translation Models for Grammatical Error Correction., , and . IJCAI, page 2768-2774. IJCAI/AAAI Press, (2016)Connecting the Dots: Towards Human-Level Grammatical Error Correction., and . BEA@EMNLP, page 327-333. Association for Computational Linguistics, (2017)Neural Quality Estimation of Grammatical Error Correction., and . EMNLP, page 2528-2539. Association for Computational Linguistics, (2018)Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models., , and . EMNLP, page 1901-1911. The Association for Computational Linguistics, (2016)Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction., , and . IJCAI, page 2803-2809. IJCAI/AAAI Press, (2016)A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction., and . AAAI, page 5755-5762. AAAI Press, (2018)Can Automatic Post-Editing Improve NMT?, , , and . EMNLP (1), page 2736-2746. Association for Computational Linguistics, (2020)