@inproceedings{agrawal-carpuat-2020-multitask,
title = "Multitask Models for Controlling the Complexity of Neural Machine Translation",
author = "Agrawal, Sweta and
Carpuat, Marine",
editor = "Cunha, Rossana and
Shaikh, Samira and
Varis, Erika and
Georgi, Ryan and
Tsai, Alicia and
Anastasopoulos, Antonios and
Chandu, Khyathi Raghavi",
booktitle = "Proceedings of the Fourth Widening Natural Language Processing Workshop",
month = jul,
year = "2020",
address = "Seattle, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.winlp-1.36/",
doi = "10.18653/v1/2020.winlp-1.36",
pages = "136--139",
abstract = "We introduce a machine translation task where the output is aimed at audiences of different levels of target language proficiency. We collect a novel dataset of news articles available in English and Spanish and written for diverse reading grade levels. We leverage this dataset to train multitask sequence to sequence models that translate Spanish into English targeted at an easier reading grade level than the original Spanish. We show that multitask models outperform pipeline approaches that translate and simplify text independently."
}
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%0 Conference Proceedings
%T Multitask Models for Controlling the Complexity of Neural Machine Translation
%A Agrawal, Sweta
%A Carpuat, Marine
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Varis, Erika
%Y Georgi, Ryan
%Y Tsai, Alicia
%Y Anastasopoulos, Antonios
%Y Chandu, Khyathi Raghavi
%S Proceedings of the Fourth Widening Natural Language Processing Workshop
%D 2020
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F agrawal-carpuat-2020-multitask
%X We introduce a machine translation task where the output is aimed at audiences of different levels of target language proficiency. We collect a novel dataset of news articles available in English and Spanish and written for diverse reading grade levels. We leverage this dataset to train multitask sequence to sequence models that translate Spanish into English targeted at an easier reading grade level than the original Spanish. We show that multitask models outperform pipeline approaches that translate and simplify text independently.
%R 10.18653/v1/2020.winlp-1.36
%U https://aclanthology.org/2020.winlp-1.36/
%U https://doi.org/10.18653/v1/2020.winlp-1.36
%P 136-139
Markdown (Informal)
[Multitask Models for Controlling the Complexity of Neural Machine Translation](https://aclanthology.org/2020.winlp-1.36/) (Agrawal & Carpuat, WiNLP 2020)
ACL