  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. We investigate to what extent this problem can be addressed
with a \textit{single multilingual model}, simultaneously controlling its
output for target language and formality. Results show that this strategy can
approach the translation quality and formality control achieved by dedicated
translation models. However, the nature of the underlying pre-trained language
model and of the finetuning samples greatly impact results.
