Statistical language models conventionally implement representation lear...
The Universal Morphology (UniMorph) project is a collaborative effort
pr...
Theoretical work in morphological typology offers the possibility of
mea...
Despite the increasing number of large and comprehensive machine transla...
Recent advances in neural machine translation (NMT) have pushed the qual...
Multimodal machine translation (MMT) systems have been shown to outperfo...
With the success of large-scale pre-training and multilingual modeling i...
Translation into morphologically-rich languages challenges neural machin...
Neural Machine Translation (NMT) models generally perform translation us...
We present a new open-source parallel corpus consisting of news articles...
Neural machine translation (NMT) models are typically trained with fixed...
The necessity of using a fixed-size word vocabulary in order to control ...