Translation Strategies in English to Persian Translation of Children's Literature based on Klingberg's Model

This research sought to identify the translation strategies adopted by the translator in Persian translation of 'whatever after, Fairest of all' written by 'Sarah Mlynowski' based on Klingberg's model (1986). To achieve the objectives of the study, a qualitative content analysis design was selected for it. The corpus of the study consisted of 60 pages of the novel 'whatever after, Fairest of all' written by 'Sarah Mlynowski' and its Persian translation by Sara Farazi (2019). This work was representative of children's literature. The pages were randomly selected as the corpus of the study. For data collection purposes, after the selec- tion of the English novel and its Persian translation, the researcher and an expert in translation qualitative- ly analyzed the English texts and translations to identify the strategies used in the Persian translations of the selected pages. They did this by comparing the English and Persian texts based on Klingberg‟s model (1986). Finally, they identified the most frequent translation strategy used in the English to Persian trans- lation of the novel by calculating the frequency and percentages of the identified translation strategies. Having analyzed the data, the researcher found that the following strategies were used in the Persian translation of “Whatever after, Fairest of all” written by 'Sarah Mlynowski' based on Klingberg‟s model (1986): added explanation, deletion, localization, and substitution. Moreover, it was found that the most frequent strategy used in the Persian translation of 'whatever after, Fairest of all' written by 'Sarah Mly- nowski' based on Klingberg‟s model (1986) was substitution. The main implication of the study is that translators use different strategies when translating children's literature, as an attempt to convey the cor- rect meaning of the source text through adapting source culture with target culture.