Findings of the Second Workshop on Neural Machine Translation and Generation

Alexandra Birch, Andrew Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda


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.
Anthology ID:
W18-2701
Volume:
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Alexandra Birch, Andrew Finch, Thang Luong, Graham Neubig, Yusuke Oda
Venue:
NGT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–10
Language:
URL:
https://preview.aclanthology.org/build-pipeline-with-new-library/W18-2701/
DOI:
10.18653/v1/W18-2701
Bibkey:
Cite (ACL):
Alexandra Birch, Andrew Finch, Minh-Thang Luong, Graham Neubig, and Yusuke Oda. 2018. Findings of the Second Workshop on Neural Machine Translation and Generation. In Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, pages 1–10, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Findings of the Second Workshop on Neural Machine Translation and Generation (Birch et al., NGT 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/build-pipeline-with-new-library/W18-2701.pdf