Data Augmentation to Address Out of VocabularyProblem in Low Resource Sinhala English Neural Machine Translation

Aloka Fernando, Surangika Ranathunga


Anthology ID:
2021.paclic-1.7
Volume:
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
Month:
11
Year:
2021
Address:
Shanghai, China
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
61–70
Language:
URL:
https://aclanthology.org/2021.paclic-1.7
DOI:
Bibkey:
Cite (ACL):
Aloka Fernando and Surangika Ranathunga. 2021. Data Augmentation to Address Out of VocabularyProblem in Low Resource Sinhala English Neural Machine Translation. In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, pages 61–70, Shanghai, China. Association for Computational Lingustics.
Cite (Informal):
Data Augmentation to Address Out of VocabularyProblem in Low Resource Sinhala English Neural Machine Translation (Fernando & Ranathunga, PACLIC 2021)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2021.paclic-1.7.pdf