TRANSLATION TECHNIQUES USED IN INDONESIAN
SUBTITLE TEXT OF THE MAIN CHARACTER FROM
AVENGERS: ENDGAME MOVIE SCRIPT
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Institusion
Universitas Darma Persada
Author
Muhammad Dandy Mulyadi, Putra
Subject
410 Linguistics/Linguistik
Datestamp
2023-03-29 04:14:44
Abstract :
This study aims to analyze the types of translation techniques and find the most technique used by the translator in translating the utterances of Tony Stark as Iron Man to Steve Rogers as Captain America with the theory of Molina and Albir. This research uses qualitative approach, also the researcher uses a descriptive qualitative method to describe the translation techniques used. The research object in this study is the utterances of Tony Stark to Steve Rogers in Avengers: Endgame (2019) movie script. I found there are 56 translation techniques used with 12 types of translation techniques. They are, linguistic compression used in 23 data (54%), reduction used in 7 data (16,6%), established equivalent used in 5 data (11.9%), variation used in 4 data (10,5%), adaptation used in 5 data (11,9%), calque used in 3 data (7,1%), borrowing used in 3 data (7.1%), compensation used in 2 data (4.7%), literal translation used in 1 datum (2.3%), modulation used in 1 datum (2.3%), particularization used in 1 datum (2.3%), and linguistic amplification used in 1 datum(2.3%). Based on that, I conclude that the most technique used is linguistic compression
This study aims to analyze the types of translation techniques and find the most technique used by the translator in translating the utterances of Tony Stark as Iron Man to Steve Rogers as Captain America with the theory of Molina and Albir. This research uses qualitative approach, also the researcher uses a descriptive qualitative method to describe the translation techniques used. The research object in this study is the utterances of Tony Stark to Steve Rogers in Avengers: Endgame (2019) movie script. I found there are 56 translation techniques used with 12 types of translation techniques. They are, linguistic compression used in 23 data (54%), reduction used in 7 data (16,6%), established equivalent used in 5 data (11.9%), variation used in 4 data (10,5%), adaptation used in 5 data (11,9%), calque used in 3 data (7,1%), borrowing used in 3 data (7.1%), compensation used in 2 data (4.7%), literal translation used in 1 datum (2.3%), modulation used in 1 datum (2.3%), particularization used in 1 datum (2.3%), and linguistic amplification used in 1 datum(2.3%). Based on that, I conclude that the most technique used is linguistic compression
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