Fereidoon Sadeghzadeh-Yazdi - Department of English Language and Literature, Ferdowsi University of Mashhad
Mohammad-Reza Hashemi - Department of English Language and Literature, Ferdowsi University of Mashhad

It seems an established fact that machine translation has proved its unique utility capacities for globalcommunication. However, evaluating the quality and performance of MT has been and still is a challenge,especially in Persian-English language pairs. Against this background this article examines the current stateof research on machine translation evaluation of such pairs. The study reviewed research on evaluatingPersian-English MT published since the so-called “neural turn”, searching academic databases usingkeywords, using a coding framework based on strengths, weaknesses, challenges, and limitations of MTsystems, and categorizing information like identified weaknesses and proposed improvements.The results reported in this study include: a) a lack of systematic research due to limited industrialdevelopers in Iran, b) academic disinterest, and c) a need for tailored metrics. Finally, the results will bediscussed and suggestions will be provided and areas for future research will be mentioned.

Neural machine translation, Machine translation evaluation, translation accuracy, translationadequacy, Machine translation evaluation research areas.