6 citations · 12 across the 9 of their papers we have counts for
5 papers · 1 filter
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT
Svetlana Tchistiakova, Jesujoba Alabi, Koel Dutta Chowdhury +2
We describe the EdinSaar submission to the shared task of Multilingual Low-Resource Translation for North Germanic Languages at the Sixth Conference on Machine Translation (WMT2021…
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
Dana Ruiter, Dietrich Klakow, Josef van Genabith +1
For most language combinations, parallel data is either scarce or simply unavailable. To address this, unsupervised machine translation (UMT) exploits large amounts of monolingual…
Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
Vanessa Hahn, Dana Ruiter, Thomas Kleinbauer +1
Hate speech and profanity detection suffer from data sparsity, especially for languages other than English, due to the subjective nature of the tasks and the resulting annotation i…
The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation
David I. Adelani, Dana Ruiter, Jesujoba O. Alabi +5
Massively multilingual machine translation (MT) has shown impressive capabilities, including zero and few-shot translation between low-resource language pairs. However, these model…
Emoji-Based Transfer Learning for Sentiment Tasks
Susann Boy, Dana Ruiter, Dietrich Klakow
Sentiment tasks such as hate speech detection and sentiment analysis, especially when performed on languages other than English, are often low-resource. In this study, we exploit t…