Findings of the 2019 conference on machine translation (WMT19)
This paper presents the results of the premier shared task organized alongside the
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …
Findings of the 2017 conference on machine translation (wmt17)
This paper presents the results of the WMT17 shared tasks, which included three machine
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …
A survey of orthographic information in machine translation
Abstract Machine translation is one of the applications of natural language processing which
has been explored in different languages. Recently researchers started paying attention …
has been explored in different languages. Recently researchers started paying attention …
The effectiveness of morphology-aware segmentation in low-resource neural machine translation
The University of Helsinki submissions to the WMT19 news translation task
In this paper, we present the University of Helsinki submissions to the WMT 2019 shared
task on news translation in three language pairs: English-German, English-Finnish and …
task on news translation in three language pairs: English-German, English-Finnish and …
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation
There are several approaches for improving neural machine translation for low-resource
languages: monolingual data can be exploited via pretraining or data augmentation; parallel …
languages: monolingual data can be exploited via pretraining or data augmentation; parallel …
[CITAZIONE][C] Leveraging orthographic information to improve machine translation of under-resourced languages
A Chakravarthi, B Raja - 2020 - NUI Galway