آیناز سمیر

Subtitling, like all other types of audiovisual translation, has always been influenced by cultural factors, and in turn, subtitles have influenced their target readers. The relation between culture and language in interlingual subtitling might cause some problems in translating Culture References (CRs). The aim of the present study was to classify the samples of CRs in the “Harry Potter” movie series based on Klingberg’s (1986) model. It was also intended to investigate the strategies applied by Iranian translators in subtitling the (CRs) in “Harry Potter” movies from English into Persian based on Diaz Cintas's (2007) proposed strategies. To do so, instances of CRs were drawn from the two series of Harry Potter entitled Harry Potter and the Philosopher's Stone (2001) and Harry Potter and Goblet of Fire (2005). The data analysis was carried out by descriptive statistics to indicate the frequency and percentages. The findings revealed that “Personal Names” and “Magical Objects”, were the most frequently used CRs in the two selected series of Harry Potter movies based on Klingberg’s (1986) model. Additionally, the results showed that “Loan” and “Calque” were the most frequently used strategies in subtitling the CRs. The findings of the present study may be useful for English translation students, subtitlers, and fansubbers who do subtitle English movies in the Iranian context

Translation Studies (TS) moved away from the focus on literary translation and linguistic approaches to new types of translation called Audiovisual translation (AVT). Technological advancements affected the development of AVT. Technology created a situation in the world of moving pictures within which subtitling and dubbing take an important role in optimizing communication. Despite the growing interest in AVT, song subtitling and dubbing remain on the periphery of TS. Therefore, this study aimed to identify the differences that may exist between the strategies used for subtitling and dubbing the songs on some special musical animations from English into Persian based on Schioldager et al.’s (2008) twelve micro-strategies. The corpus of this study consisted of three musical animations which are Strange Magic, Moana , and Frozen 2 . This study focused on nine songs in each animation. The songs had meaningful lyrics, established the character(s), aided in the narrative, and made the audience relate to the character or the story. Hence, in the selected animations 27 songs were selected. The data were analyzed using a chi-squared test. The results indicated a statistically significant difference between six out of 12 strategies for dubbing and subtitling the animation’s songs. The differences were related to “Direct Translation”, “Oblique translation”, “Adaption”, “Addition”, “Substitution”, and “Deletion”. The results revealed the most frequent micro strategies used by Iranian translators in dubbing songs were “Oblique Translation”, “Deletion”, “Substitution”, and “Adaptation”. However, “Direct Translation” and “Addition” were the most used strategies in subtitling songs in animations. Thus, it was revealed that the translator in dubbing not only transferred the dialogue from the source text but also considered the source text idea. The findings offered a pedagogical implication for translation students, subtitlers, and dubbers to recognize better the subtitling and dubbing strategies that were being used by translators in the Iranian context.

The present study aimed to examine and validate a rubric for translation quality assessment using Rasch analysis. To this end, the researchers interviewed 20 expert translation instructors to identify the factors they consider important for assessing the quality of students’ translation. Based on the specific commonalities found throughout the interviews, a 23-item assessment rubric was constructed on a four-point Likert scale. More specifically, this study used the Rasch rating scale model for polytomous data to investigate the psychometric properties of the rating scale in terms of dimensionality, reliability, use of response category, and sample appropriateness. Then, a translation exam was administered to 60 translation students at the BA level in Iranian universities. Following this, the rubric was employed to assess the quality of students’ translation. The results revealed that the Rasch model fits the data well. Thus, the findings of the study indicated that the rubric is potentially valid and useful, and can be used as a measure of translation quality assessment in the Iranian context.