Leveraging Synthetic Monolingual Data for Fuzzy-Match Augmentation in Neural Machine Translation: A Preliminary Study

Thomas Moerman, Arda Tezcan


Anthology ID:
2024.kemt-1.4
Volume:
Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation
Month:
June
Year:
2024
Address:
Sheffield, United Kingdom
Editors:
Arda Tezcan, Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis
Venues:
KEMT | WS
SIG:
Publisher:
European Association for Machine Translation (EAMT)
Note:
Pages:
34–39
Language:
URL:
https://aclanthology.org/2024.kemt-1.4
DOI:
Bibkey:
Cite (ACL):
Thomas Moerman and Arda Tezcan. 2024. Leveraging Synthetic Monolingual Data for Fuzzy-Match Augmentation in Neural Machine Translation: A Preliminary Study. In Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation, pages 34–39, Sheffield, United Kingdom. European Association for Machine Translation (EAMT).
Cite (Informal):
Leveraging Synthetic Monolingual Data for Fuzzy-Match Augmentation in Neural Machine Translation: A Preliminary Study (Moerman & Tezcan, KEMT-WS 2024)
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PDF:
https://aclanthology.org/2024.kemt-1.4.pdf