  Simultaneous machine translation has recently gained traction thanks to
significant quality improvements and the advent of streaming applications.
Simultaneous translation systems need to find a trade-off between translation
quality and response time, and with this purpose multiple latency measures have
been proposed. However, latency evaluations for simultaneous translation are
estimated at the sentence level, not taking into account the sequential nature
of a streaming scenario. Indeed, these sentence-level latency measures are not
well suited for continuous stream translation resulting in figures that are not
coherent with the simultaneous translation policy of the system being assessed.
This work proposes a stream-level adaptation of the current latency measures
based on a re-segmentation approach applied to the output translation, that is
successfully evaluated on streaming conditions for a reference IWSLT task.
