Search Results for author:
Found 3 papers, 0 papers with code
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context
Lexical ambiguity is a challenging and pervasive problem in machine translation (\mt).
Additive Interventions Yield Robust Multi-Domain Machine Translation Models
Additive interventions are a recently-proposed mechanism for controlling target-side attributes in neural machine translation.
Controlling Translation Formality Using Pre-trained Multilingual Language Models
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 English into 6 languages with diverse grammatical formality markers.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
