14 citations · 32 across the 5 of their papers we have counts for
4 papers · 1 filter
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
Yun Tang, Juan Pino, Xian Li +2
Pretraining and multitask learning are widely used to improve the speech to text translation performance. In this study, we are interested in training a speech to text translation…
Adaptive Sparse Transformer for Multilingual Translation
Hongyu Gong, Xian Li, Dmitriy Genzel
Multilingual machine translation has attracted much attention recently due to its support of knowledge transfer among languages and the low cost of training and deployment compared…
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks
Yun Tang, Juan Pino, Changhan Wang +2
Attention-based sequence-to-sequence modeling provides a powerful and elegant solution for applications that need to map one sequence to a different sequence. Its success heavily r…
TICO-19: the Translation Initiative for Covid-19
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou +15
The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations t…