@article{(Open Science Index):https://publications.waset.org/pdf/10002729,
	  title     = {A Study on Explicitation Strategies Employed in Persian Subtitling of English Crime Movies},
	  author    = {Hossein Heidari Tabrizi and  Azizeh Chalak and  Hossein Enayat},
	  country	= {},
	  institution	= {},
	  abstract     = {The present study seeks to investigate the application
of expansion strategy in Persian subtitles of English crime movies.
More precisely, this study aims at classifying the different types of
expansion used in subtitles as well as investigating the
appropriateness or inappropriateness of the application of each type.
To achieve this end, three movies; namely, The Net (1995), Contact
(1997) and Mission Impossible 2 (2000), available with Persian
subtitles, were selected for the study. To collect the data, the above
mentioned movies were watched and those parts of the Persian
subtitles in which expansion had been used were identified and
extracted along with their English dialogs. Then, the extracted
Persian subtitles were classified based on the reason that led to
expansion in each case. Next, the appropriateness or
inappropriateness of using expansion in the extracted Persian
subtitles was descriptively investigated. Finally, an equivalent not
containing any expansion was proposed for those cases in which the
meaning could be fully transferred without this strategy. The findings
of the study indicated that the reasons range from explicitation
(explicitation of visual, co-textual and contextual information),
mistranslation and paraphrasing to the preferences of subtitlers.
Furthermore, it was found that the employment of expansion strategy
was inappropriate in all cases except for those caused by explicitation
of contextual information since correct and shorter equivalents which
were equally capable of conveying the intended meaning could be
posited for the original dialogs.},
	    journal   = {International Journal of Cognitive and Language Sciences},
	  volume    = {9},
	  number    = {8},
	  year      = {2015},
	  pages     = {2936 - 2940},
	  ee        = {https://publications.waset.org/pdf/10002729},
	  url   	= {https://publications.waset.org/vol/104},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 104, 2015},
	}