68 citations · 234 across the 28 of their papers we have counts for
4 papers · 1 filter
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue
Nikita Moghe, Evgeniia Razumovskaia, Liane Guillou +3
Task-oriented dialogue (TOD) systems have been widely deployed in many industries as they deliver more efficient customer support. These systems are typically constructed for a sin…
Extrinsic Evaluation of Machine Translation Metrics
Nikita Moghe, Tom Sherborne, Mark Steedman +1
Automatic machine translation (MT) metrics are widely used to distinguish the translation qualities of machine translation systems across relatively large test sets (system-level e…
Exploring Diversity in Back Translation for Low-Resource Machine Translation
Laurie Burchell, Alexandra Birch, Kenneth Heafield
Back translation is one of the most widely used methods for improving the performance of neural machine translation systems. Recent research has sought to enhance the effectiveness…
Non-Autoregressive Machine Translation: It's Not as Fast as it Seems
Jindřich Helcl, Barry Haddow, Alexandra Birch
Efficient machine translation models are commercially important as they can increase inference speeds, and reduce costs and carbon emissions. Recently, there has been much interest…