Low-resource machine translation suffers from the scarcity of training data and the
unavailability of standard evaluation sets. While a number of research efforts target the …

Emotion detection can provide us with a window into understanding human behavior. Due to
the complex dynamics of human emotions, however, constructing annotated datasets to train …

Machine translation has been a major motivation of development in natural language
processing. Despite the burgeoning achievements in creating more efficient machine …

RoCS-MT, a Robust Challenge Set for Machine Translation (MT), is designed to test MT
systems' ability to translate user-generated content (UGC) that displays non-standard …

Translation of the noisy, informal language found in social media has been an understudied
problem, with a principal factor being the limited availability of translation corpora in many …

In this paper, we focus on how current Machine Translation (MT) tools perform on the
translation of emotion-loaded texts by evaluating outputs from Google Translate according to …

Low-resource machine translation suffers from the scarcity of training data and the
unavailability of standard evaluation sets. While a number of research efforts target the …