This research compared five sentences translated from Armenian into Russian and English by Google Translator, Yandex Translator and two models of the translation system of the Armenian company Avromic to find out how effective these translation systems are when working in Armenian. As there is no comprehensive and successful method of human metrics for machine translation, the authors have developed their own evaluation method and criteria by studying the world's most well-known methods of evaluation for automatic translation. They have used the post-editorial distance evaluation criterion as well. In the example of one sentence in the article, they present in detail the evaluation process according to the selected and developed criteria. At the end they present the results of the research and make appropriate conclusions.