293 citations · 420 across the 4 of their papers we have counts for
12 papers · 1 filter
Sentence Boundary Augmentation For Neural Machine Translation Robustness
Daniel Li, Te I, Naveen Arivazhagan +2
Neural Machine Translation (NMT) models have demonstrated strong state of the art performance on translation tasks where well-formed training and evaluation data are provided, but…
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
Aditya Siddhant, Ankur Bapna, Yuan Cao +5
Over the last few years two promising research directions in low-resource neural machine translation (NMT) have emerged. The first focuses on utilizing high-resource languages to i…
Re-translation versus Streaming for Simultaneous Translation
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey +1
There has been great progress in improving streaming machine translation, a simultaneous paradigm where the system appends to a growing hypothesis as more source content becomes av…
Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation
Naveen Arivazhagan, Colin Cherry, Te I +3
We investigate the problem of simultaneous machine translation of long-form speech content. We target a continuous speech-to-text scenario, generating translated captions for a liv…
Simple, Scalable Adaptation for Neural Machine Translation
Ankur Bapna, Naveen Arivazhagan, Orhan Firat
Fine-tuning pre-trained Neural Machine Translation (NMT) models is the dominant approach for adapting to new languages and domains. However, fine-tuning requires adapting and maint…
Investigating Multilingual NMT Representations at Scale
Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell +2
Multilingual Neural Machine Translation (NMT) models have yielded large empirical success in transfer learning settings. However, these black-box representations are poorly underst…