@inproceedings{birch-etal-2018-findings,
title = "Findings of the Second Workshop on Neural Machine Translation and Generation",
author = "Birch, Alexandra and
Finch, Andrew and
Luong, Minh-Thang and
Neubig, Graham and
Oda, Yusuke",
editor = "Birch, Alexandra and
Finch, Andrew and
Luong, Thang and
Neubig, Graham and
Oda, Yusuke",
booktitle = "Proceedings of the 2nd Workshop on Neural Machine Translation and Generation",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-2701",
doi = "10.18653/v1/W18-2701",
pages = "1--10",
abstract = "This document describes the findings of the Second Workshop on Neural Machine Translation and Generation, held in concert with the annual conference of the Association for Computational Linguistics (ACL 2018). First, we summarize the research trends of papers presented in the proceedings, and note that there is particular interest in linguistic structure, domain adaptation, data augmentation, handling inadequate resources, and analysis of models. Second, we describe the results of the workshop{'}s shared task on efficient neural machine translation, where participants were tasked with creating MT systems that are both accurate and efficient.",
}
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%0 Conference Proceedings
%T Findings of the Second Workshop on Neural Machine Translation and Generation
%A Birch, Alexandra
%A Finch, Andrew
%A Luong, Minh-Thang
%A Neubig, Graham
%A Oda, Yusuke
%Y Birch, Alexandra
%Y Finch, Andrew
%Y Luong, Thang
%Y Neubig, Graham
%Y Oda, Yusuke
%S Proceedings of the 2nd Workshop on Neural Machine Translation and Generation
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F birch-etal-2018-findings
%X This document describes the findings of the Second Workshop on Neural Machine Translation and Generation, held in concert with the annual conference of the Association for Computational Linguistics (ACL 2018). First, we summarize the research trends of papers presented in the proceedings, and note that there is particular interest in linguistic structure, domain adaptation, data augmentation, handling inadequate resources, and analysis of models. Second, we describe the results of the workshop’s shared task on efficient neural machine translation, where participants were tasked with creating MT systems that are both accurate and efficient.
%R 10.18653/v1/W18-2701
%U https://aclanthology.org/W18-2701
%U https://doi.org/10.18653/v1/W18-2701
%P 1-10
Markdown (Informal)
[Findings of the Second Workshop on Neural Machine Translation and Generation](https://aclanthology.org/W18-2701) (Birch et al., NGT 2018)
ACL