105 citations · 349 across the 67 of their papers we have counts for
4 papers · 1 filter
Controlling Neural Machine Translation Formality with Synthetic Supervision
Xing Niu, Marine Carpuat
This work aims to produce translations that convey source language content at a formality level that is appropriate for a particular audience. Framing this problem as a neural sequ…
Controlling Text Complexity in Neural Machine Translation
Sweta Agrawal, Marine Carpuat
This work introduces a machine translation task where the output is aimed at audiences of different levels of target language proficiency. We collect a high quality dataset of news…
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar +3
We introduce a curriculum learning approach to adapt generic neural machine translation models to a specific domain. Samples are grouped by their similarities to the domain of inte…
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation
Weijia Xu, Xing Niu, Marine Carpuat
Despite some empirical success at correcting exposure bias in machine translation, scheduled sampling algorithms suffer from a major drawback: they incorrectly assume that words in…