  We relax the constraint of a shared language between agents in a semantic and
goal-oriented communication system to explore the effect of language mismatch
in distributed task solving. We propose a mathematical framework, which
provides a modelling and a measure of the semantic distortion introduced in the
communication when agents use distinct languages. We then propose a new
approach to semantic channel equalization with proven effectiveness through
numerical evaluations.
