A survey on evaluation metrics for machine translation S Lee, J Lee, H Moon, C Park, J Seo, S Eo, S Koo, H Lim Mathematics 11 (4), 1006, 2023 | 65 | 2023 |
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text C Park, J Seo, S Lee, C Lee, H Moon, S Eo, H Lim Proceedings of the 8th Workshop on Asian Translation (WAT2021) - ACL Workshop, 2021 | 43 | 2021 |
Should we find another model?: Improving neural machine translation performance with one-piece tokenization method without model modification C Park, S Eo, H Moon, HS Lim Proceedings of the 2021 conference of the north american chapter of the …, 2021 | 35 | 2021 |
Comparative analysis of current approaches to quality estimation for neural machine translation S Eo, C Park, H Moon, J Seo, H Lim Applied Sciences 11 (14), 6584, 2021 | 19 | 2021 |
A study on performance improvement considering the balance between corpus in neural machine translation C Park, K Park, H Moon, S Eo, H Lim Journal of the Korea Convergence Society 12 (5), 23-29, 2021 | 15 | 2021 |
A dog is passing over the jet? a text-generation dataset for korean commonsense reasoning and evaluation J Seo, S Lee, C Park, Y Jang, H Moon, S Eo, S Koo, HS Lim Findings of the Association for Computational Linguistics: NAACL 2022, 2233-2249, 2022 | 14 | 2022 |
An empirical study on automatic post editing for neural machine translation H Moon, C Park, S Eo, J Seo, H Lim IEEE Access 9, 123754-123763, 2021 | 13 | 2021 |
AI for patents: A novel yet effective and efficient framework for patent analysis J Son, H Moon, J Lee, S Lee, C Park, W Jung, H Lim IEEE Access 10, 59205-59218, 2022 | 12 | 2022 |
Filter-mBART based neural machine translation using parallel corpus filtering H Moon, C Park, S Eo, JB Park, H Lim Journal of the Korea Convergence Society 12 (5), 1-7, 2021 | 12 | 2021 |
K-nct: Korean neural grammatical error correction gold-standard test set using novel error type classification criteria S Koo, C Park, J Seo, S Lee, H Moon, J Lee, H Lim IEEE Access 10, 118167-118175, 2022 | 10 | 2022 |
PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge J Seo, D Oh, S Eo, C Park, K Yang, H Moon, K Park, H Lim Knowledge-Based Systems 256, 109861, 2022 | 9 | 2022 |
An automatic post editing with efficient and simple data generation method H Moon, C Park, J Seo, S Eo, H Lim IEEE Access 10, 21032-21040, 2022 | 9 | 2022 |
Dealing with the paradox of quality estimation S Eo, C Park, H Moon, J Seo, HS Lim Proceedings of the 4th Workshop on Technologies for MT of Low Resource …, 2021 | 9 | 2021 |
Kommongen: A dataset for korean generative commonsense reasoning evaluation J Seo, C Park, H Moon, S Eo, M Kang, S Lee, H Lim Annual Conference on Human and Language Technology, 55-60, 2021 | 9 | 2021 |
KU X upstage’s submission for the WMT22 quality estimation: Critical error detection shared task S Eo, C Park, H Moon, J Seo, HS Lim Proceedings of the Seventh Conference on Machine Translation (WMT), 606-614, 2022 | 8 | 2022 |
Plain template insertion: korean-prompt-based engineering for few-shot learners J Seo, H Moon, C Lee, S Eo, C Park, J Kim, C Chun, H Lim IEEE Access 10, 107587-107597, 2022 | 8 | 2022 |
An automated industry and occupation coding system using deep learning J Lim, H Moon, C Lee, C Woo, H Lim Journal of the Korea Convergence Society 12 (4), 23-30, 2021 | 8 | 2021 |
Improving formality-sensitive machine translation using data-centric approaches and prompt engineering S Lee, H Moon, C Park, HS Lim Proceedings of the 20th International Conference on Spoken Language …, 2023 | 7 | 2023 |
Towards diverse and effective question-answer pair generation from children storybooks S Eo, H Moon, J Kim, Y Hur, J Kim, S Lee, C Chun, S Park, H Lim arXiv preprint arXiv:2306.06605, 2023 | 7 | 2023 |
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus C Park, S Lee, H Moon, S Eo, J Seo, H Lim arXiv preprint arXiv:2111.00191, 2021 | 7 | 2021 |