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From the very beginning, machine translation (MT) represents a significant advance in our society despite of the difficulties encountered in its way. Nowadays, different MT systems are used in private and public sectors in response to the increasing translation demand. This paper presents the quantitative and qualitative results obtained from the evaluation of two different MT systems—rule-based and neural-based MT systems—within the field of legal and administrative translation in public service interpreting and translation (PSIT). For this purpose, COSTA MT Evaluation Tool will be used. [ABSTRACT FROM AUTHOR]