1 code implementation • 18 Jan 2023 • Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat
Neural sequence generation models are known to "hallucinate", by producing outputs that are unrelated to the source text.
1 code implementation • 2 Nov 2018 • Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat
Machine translation systems based on deep neural networks are expensive to train.
no code implementations • WS 2018 • 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 but also the user experience, including aspects such as trust.
no code implementations • LREC 2012 • Marianna J. Martindale
In this work we conduct a human evaluation of statistical post-edited output from a weak rule-based MT system, comparing the results with the output of the original rule-based system and a phrase-based statistical MT system trained on the same data.