105 citations · 349 across the 67 of their papers we have counts for
7 papers · 1 filter
An Empirical Exploration of Curriculum Learning for Neural Machine Translation
Xuan Zhang, Gaurav Kumar, Huda Khayrallah +6
Machine translation systems based on deep neural networks are expensive to train. Curriculum learning aims to address this issue by choosing the order in which samples are presente…
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation
Xing Niu, Weijia Xu, Marine Carpuat
We aim to better exploit the limited amounts of parallel text available in low-resource settings by introducing a differentiable reconstruction loss for neural machine translation…
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Xing Niu, Sudha Rao, Marine Carpuat
Generating natural language requires conveying content in an appropriate style. We explore two related tasks on generating text of varying formality: monolingual formality transfer…
Bi-Directional Neural Machine Translation with Synthetic Parallel Data
Xing Niu, Michael Denkowski, Marine Carpuat
Despite impressive progress in high-resource settings, Neural Machine Translation (NMT) still struggles in low-resource and out-of-domain scenarios, often failing to match the qual…
Robust Cross-lingual Hypernymy Detection using Dependency Context
Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat +1
Cross-lingual Hypernymy Detection involves determining if a word in one language ("fruit") is a hypernym of a word in another language ("pomme" i.e. apple in French). The ability t…
Identifying Semantic Divergences in Parallel Text without Annotations
Yogarshi Vyas, Xing Niu, Marine Carpuat
Recognizing that even correct translations are not always semantically equivalent, we automatically detect meaning divergences in parallel sentence pairs with a deep neural model o…
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT
Marianna J. Martindale, Marine Carpuat
Although measuring intrinsic quality has been a key factor in the advancement of Machine Translation (MT), successfully deploying MT requires considering not just intrinsic quality…