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Hwichan Kim
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2020 – today
- 2024
- [c9]Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda:
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices. LREC/COLING 2024: 1602-1608 - [i2]Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda:
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices. CoRR abs/2403.14946 (2024) - 2023
- [j1]Hwichan Kim
, Tosho Hirasawa
, Sangwhan Moon
, Naoaki Okazaki
, Mamoru Komachi
:
North Korean Neural Machine Translation through South Korean Resources. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 223:1-223:22 (2023) - [c8]Hwichan Kim, Mamoru Komachi:
Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples. ACL (Findings) 2023: 747-767 - [c7]Hiroto Tamura, Tosho Hirasawa, Hwichan Kim, Mamoru Komachi:
Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? EACL (Findings) 2023: 2171-2180 - [c6]Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka, Mamoru Komachi:
Simultaneous Domain Adaptation of Tokenization and Machine Translation. PACLIC 2023: 36-45 - 2022
- [c5]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. LREC 2022: 6711-6718 - [i1]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. CoRR abs/2201.11258 (2022) - 2021
- [c4]Hwichan Kim, Mamoru Komachi:
TMU NMT System with Japanese BART for the Patent task of WAT 2021. WAT@ACL/IJCNLP 2021: 133-137 - [c3]Hwichan Kim, Mamoru Komachi:
Can Monolingual Pre-trained Encoder-Decoder Improve NMT for Distant Language Pairs? PACLIC 2021: 235-243 - 2020
- [c2]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition. ACL (student) 2020: 72-78 - [c1]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Korean-to-Japanese Neural Machine Translation System using Hanja Information. WAT@AAC/IJCNLPL 2020: 127-134
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