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 (NMT), where participants were tasked with creating NMT systems that are both accurate and efficient.
|Number of pages||10|
|Publication status||Published - Jul 2018|
|Event||2nd Workshop on Neural Machine Translation and Generation - Melbourne, Australia|
Duration: 15 Jul 2018 → 20 Jul 2018
|Conference||2nd Workshop on Neural Machine Translation and Generation|
|Abbreviated title||WNMT 2018|
|Period||15/07/18 → 20/07/18|