An Evaluation of Mohammad Reza Safavi's Translation of Qur'anic Moral Verses based on Chesterman's Relation Norm

Many Qur'anic verses describe moral virtues and vices. Considering the importance of ethics in human growth and perfection, these verses, in the form of moral messages, are highly applicable. Therefore, it is important to use content-oriented and interpretive translations to convey the messages of these verses more accurately. Mohammad Reza Safavi's translation is an example of such translations. In this research, the quality of Safavi's translation of moral verses was analyzed using a descriptive-analytical method and based on Andrew Chesterman's relation norm. Chesterman considers studies of translation as a norm-based scientific field. He introduced the notion of 'relation norm' as part of his norm theory to express the relationship between the source language and the target language, and described it by proposing strategies at three syntactic, semantic, and pragmatic levels. The results of this study show that in the translation of moral verses and at the syntactic level, Safavi has used literal, transposition, unit shift, and loan translation strategies more frequently. At the semantic level, hyponymy has been employed more often, and at the pragmatic level, he has used the strategies of explicitation and information change to explain the implicit aspects of the verses. By using syntactic, semantic, and pragmatic strategies, he has taken into account the morphological, syntactic, semantic, and interpretive points of the verses according to the standard Persian language, and the relation norm. Thus, his translation of moral verses enjoys a very high quality.

کلیدواژه ها:

translation of moral verses ، Mohammad Reza Safavi ، relation norms ، translation strategies ، Chesterman