68 citations · 234 across the 34 of their papers we have counts for
5 papers · 2 filters
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade
Juan Pino, Liezl Puzon, Jiatao Gu +3
For automatic speech translation (AST), end-to-end approaches are outperformed by cascaded models that transcribe with automatic speech recognition (ASR), then translate with machi…
Monotonic Multihead Attention
Xutai Ma, Juan Pino, James Cross +2
Simultaneous machine translation models start generating a target sequence before they have encoded or read the source sequence. Recent approaches for this task either apply a fixe…
Findings of the First Shared Task on Machine Translation Robustness
Xian Li, Paul Michel, Antonios Anastasopoulos +7
We share the findings of the first shared task on improving robustness of Machine Translation (MT). The task provides a testbed representing challenges facing MT models deployed in…
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
Paul Michel, Xian Li, Graham Neubig +1
Adversarial examples --- perturbations to the input of a model that elicit large changes in the output --- have been shown to be an effective way of assessing the robustness of seq…
The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English
Francisco Guzmán, Peng-Jen Chen, Myle Ott +5
For machine translation, a vast majority of language pairs in the world are considered low-resource because they have little parallel data available. Besides the technical challeng…