  In this paper, we examine the development and usage of six low-resource
machine translation systems translating between the Ukrainian language and each
of the official languages of the Baltic states. We developed these systems in
reaction to the escalating Ukrainian refugee crisis caused by the Russian
military aggression in Ukraine in the hope that they might be helpful for
refugees and public administrations. Now, two months after MT systems were made
public, we analyze their usage patterns and statistics. Our findings show that
the Latvian-Ukrainian and Lithuanian-Ukrainian systems are integrated into the
public services of Baltic states, leading to more than 127 million translated
sentences for the Lithuanian-Ukrainian system. Motivated by these findings, we
further enhance our MT systems by better Ukrainian toponym translation and
publish an improved version of the Lithuanian-Ukrainian system.
