4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 4 cited
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context
Elijah Rippeth, Marine Carpuat, Kevin Duh +1
Lexical ambiguity is a challenging and pervasive problem in machine translation (\mt). We introduce a simple and scalable approach to resolve translation ambiguity by incorporating…
cs.CL2022★ 1 cited
Additive Interventions Yield Robust Multi-Domain Machine Translation Models
Elijah Rippeth, Matt Post
Additive interventions are a recently-proposed mechanism for controlling target-side attributes in neural machine translation. In contrast to tag-based approaches which manipulate…
cs.CL2022
Controlling Translation Formality Using Pre-trained Multilingual Language Models
Elijah Rippeth, Sweta Agrawal, Marine Carpuat
This paper describes the University of Maryland's submission to the Special Task on Formality Control for Spoken Language Translation at \iwslt, which evaluates translation from En…