PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

Autor:	Doan, Long, Nguyen, Linh The, Tran, Nguyen Luong, Hoang, Thai, Nguyen, Dat Quoc
Rok vydání:	2021
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	We introduce a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark Vietnamese-English machine translation corpus IWSLT15. We conduct experiments comparing strong neural baselines and well-known automatic translation engines on our dataset and find that in both automatic and human evaluations: the best performance is obtained by fine-tuning the pre-trained sequence-to-sequence denoising auto-encoder mBART. To our best knowledge, this is the first large-scale Vietnamese-English machine translation study. We hope our publicly available dataset and study can serve as a starting point for future research and applications on Vietnamese-English machine translation. Comment: To appear in Proceedings of EMNLP 2021 (main conference). The first three authors contribute equally to this work
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2110.12199 Zobrazit plný text záznamu View this record from Arxiv