105 citations · 349 across the 67 of their papers we have counts for
5 papers · 1 filter
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
Eleftheria Briakou, Sweta Agrawal, Joel Tetreault +1
While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation. In this paper, we evaluate leadi…
Rule-based Morphological Inflection Improves Neural Terminology Translation
Weijia Xu, Marine Carpuat
Current approaches to incorporating terminology constraints in machine translation (MT) typically assume that the constraint terms are provided in their correct morphological forms…
A Review of Human Evaluation for Style Transfer
Eleftheria Briakou, Sweta Agrawal, Ke Zhang +2
This paper reviews and summarizes human evaluation practices described in 97 style transfer papers with respect to three main evaluation aspects: style transfer, meaning preservati…
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation
Eleftheria Briakou, Marine Carpuat
While it has been shown that Neural Machine Translation (NMT) is highly sensitive to noisy parallel training samples, prior work treats all types of mismatches between source and t…
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?
Weijia Xu, Shuming Ma, Dongdong Zhang +1
While non-autoregressive (NAR) models are showing great promise for machine translation, their use is limited by their dependence on knowledge distillation from autoregressive mode…