Podcast
Questions and Answers
What is the purpose of the study?
To explore the subtitling strategies applied by YouTube Auto-Translate in translating song lyrics and highlight the challenges of machine-generated translations.
Which song was chosen for analysis in the study?
What research method does the study use?
Qualitative research methods.
The study uses quantitative research methods.
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What are the main challenges highlighted in the study regarding machine translation?
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Who developed the theory used to analyze the subtitling strategies?
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The lyric of 'Stand by Me' was translated into Indonesian by the automatic machine translation feature on YouTube Auto-Translate, with the data gathered from the official ___.
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Study Notes
Study Purpose
- To analyze the subtitling strategies used in the automatic translation of a song, specifically 'Stand by Me', from English to Indonesian.
- To identify the challenges and limitations of machine translation within the context of translating song lyrics.
Song Chosen for Analysis
- 'Stand by Me' by Ben E. King.
Research Method
- Quantitative research methods.
Challenges of Machine Translation
- Loss of meaning: Machine translation may not accurately capture the intended meaning of the lyrics due to nuances in language and cultural contexts.
- Grammatical errors: Machine translations can produce grammatically incorrect sentences or phrases, impacting readability and comprehension.
- Lack of emotional impact: Machine translations often fail to convey the emotional depth and artistic intent embedded in the lyrics.
Theory for Analyzing Subtitling Strategies
- The theory used to analyze the subtitling strategies is not specified in the provided text.
Data Gathering Source
- The official YouTube video of 'Stand by Me'.
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Description
This quiz explores the strategies employed by YouTube Auto-Translate in the Indonesian translation of the song 'Stand by Me' by Oasis. It delves into the challenges of translating metaphors, symbolism, and idioms found in the lyrics while examining the effectiveness of machine translation tools. Test your knowledge on subtitling strategies and their impact on conveying emotional depth in music.
