@inproceedings{chada-2020-simultaneous,
title = "Simultaneous paraphrasing and translation by fine-tuning Transformer models",
author = "Chada, Rakesh",
editor = "Birch, Alexandra and
Finch, Andrew and
Hayashi, Hiroaki and
Heafield, Kenneth and
Junczys-Dowmunt, Marcin and
Konstas, Ioannis and
Li, Xian and
Neubig, Graham and
Oda, Yusuke",
booktitle = "Proceedings of the Fourth Workshop on Neural Generation and Translation",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.ngt-1.23",
doi = "10.18653/v1/2020.ngt-1.23",
pages = "198--203",
abstract = "This paper describes the third place submission to the shared task on simultaneous translation and paraphrasing for language education at the 4th workshop on Neural Generation and Translation (WNGT) for ACL 2020. The final system leverages pre-trained translation models and uses a Transformer architecture combined with an oversampling strategy to achieve a competitive performance. This system significantly outperforms the baseline on Hungarian (27{\%} absolute improvement in Weighted Macro F1 score) and Portuguese (33{\%} absolute improvement) languages.",
}
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<abstract>This paper describes the third place submission to the shared task on simultaneous translation and paraphrasing for language education at the 4th workshop on Neural Generation and Translation (WNGT) for ACL 2020. The final system leverages pre-trained translation models and uses a Transformer architecture combined with an oversampling strategy to achieve a competitive performance. This system significantly outperforms the baseline on Hungarian (27% absolute improvement in Weighted Macro F1 score) and Portuguese (33% absolute improvement) languages.</abstract>
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%0 Conference Proceedings
%T Simultaneous paraphrasing and translation by fine-tuning Transformer models
%A Chada, Rakesh
%Y Birch, Alexandra
%Y Finch, Andrew
%Y Hayashi, Hiroaki
%Y Heafield, Kenneth
%Y Junczys-Dowmunt, Marcin
%Y Konstas, Ioannis
%Y Li, Xian
%Y Neubig, Graham
%Y Oda, Yusuke
%S Proceedings of the Fourth Workshop on Neural Generation and Translation
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F chada-2020-simultaneous
%X This paper describes the third place submission to the shared task on simultaneous translation and paraphrasing for language education at the 4th workshop on Neural Generation and Translation (WNGT) for ACL 2020. The final system leverages pre-trained translation models and uses a Transformer architecture combined with an oversampling strategy to achieve a competitive performance. This system significantly outperforms the baseline on Hungarian (27% absolute improvement in Weighted Macro F1 score) and Portuguese (33% absolute improvement) languages.
%R 10.18653/v1/2020.ngt-1.23
%U https://aclanthology.org/2020.ngt-1.23
%U https://doi.org/10.18653/v1/2020.ngt-1.23
%P 198-203
Markdown (Informal)
[Simultaneous paraphrasing and translation by fine-tuning Transformer models](https://aclanthology.org/2020.ngt-1.23) (Chada, NGT 2020)
ACL