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Noising Scheme for Data Augmentation in Automatic Post-Editing.

, , , , and . WMT@EMNLP, page 783-788. Association for Computational Linguistics, (2020)

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Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation., , , and . EACL, page 3685-3691. Association for Computational Linguistics, (2021)POSTECH-ETRI's Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model., , , , , and . WMT@EMNLP, page 777-782. Association for Computational Linguistics, (2020)Multi-encoder Transformer Network for Automatic Post-Editing., and . WMT (shared task), page 840-845. Association for Computational Linguistics, (2018)Noising Scheme for Data Augmentation in Automatic Post-Editing., , , , and . WMT@EMNLP, page 783-788. Association for Computational Linguistics, (2020)Exploration of Effective Attention Strategies for Neural Automatic Post-editing with Transformer., , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 20 (6): 111:1-111:17 (2021)Subtopic Mining Based on Three-Level Hierarchical Search Intentions., , and . ECIR, volume 9626 of Lecture Notes in Computer Science, page 741-747. Springer, (2016)Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder., , and . WMT (3), page 112-117. Association for Computational Linguistics, (2019)The KLE's Subtopic Mining System for the NTCIR-11 IMine Task., , and . NTCIR, National Institute of Informatics (NII), (2014)