Septina Indrayani
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POPULAR OR POPULER? COMPARING AI AND HUMAN TRANSLATION OF NONCE WORDS IN WICKED’S INDONESIAN SUBTITLES Abdillah, Taufik Eryadi; Fanny Puji Rakhmi; Ina Sukaesih; Farizka Humolungo; Septina Indrayani
CALL Vol. 7 No. 2 (2025): CALL
Publisher : Universitas Islam Negeri Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/call.v7i2.51205

Abstract

This study investigates the process of translating nonce words in Indonesian subtitles of the musical fantasy film Wicked, focusing on the challenges posed by highly creative and humorous expressions that remain underexplored in audiovisual translation studies. Set in the magical land of Oz, the film incorporates playful and imaginative expressions like Galindafied and braverism, which present unique translation difficulties. The study employs content analysis to compare human-generated subtitles from Apple TV with AI-generated subtitles produced by ChatGPT. While both human and AI translations tend to convey the general meaning of the nonce words, they fail to capture the stylistic and humorous nuances present in the source language. Human translations can be literal or omit creative expressions entirely, suggesting that neither method fully encapsulates the inventiveness and playfulness of the source language. This study underscores the importance of developing more adaptable strategies for translating highly creative audiovisual texts.
THE EQUIVALENT OF ARCHAIC WORDS IN MODERN ENGLISH A STUDY ON THE TRANSLATION OF THE LAWS AND REGULATIONS OF THE REPUBLIC OF INDONESIA Haeza Zata Amani; Septina Indrayani; Nidia Sofa
LinguAmerta Vol. 1 No. 1 (2024): Vol. 1 No. 1 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v1i1.6408

Abstract

Archaic word is one of the major vocabulary features of legal English. The use of archaic words can be difficult to understand for non-law practitioners because they are no longer commonly used in modern English. This thesis explores the archaic words found in selected laws and regulations of the Republic of Indonesia and investigates their meaning, function, and equivalent modern word replacements and Indonesian translations. The research methodology used is descriptive-qualitative, utilizing linguistic phenomena as data, specifically archaic words. The English and Indonesian versions of Law Number 25 of 2007 on Investment, Law Number 40 of 2007 on Limited Liability Companies, Law Number 3 of 2014 on Industrial Affairs, and several government regulations related to industrial development and permits serve as the data sources. Data collection involves content analysis and Focus Group Discussions (FGD). The data are analyzed in four stages: domain, taxonomy, componential, and cultural themes. The key findings of the study reveal a total of 196 archaic words identified in the selected laws and regulations, consisting of 15 words and phrases. The most frequently encountered archaic phrase is "in the event," followed by "pursuant to," "hereinafter," and "amongst." Understanding the meaning and purpose of these archaic words is essential to comprehend their role within legal documents and facilitate the identification of modern English words or phrases that convey the same legal concepts
TRANSLATION TECHNIQUES AND ACCURACY OF REPRESENTATIVE SPEECH ACTS IN GOING SEVENTEEN SUBTITLE Denise Thea Maresca Rumekso; Septina Indrayani
LinguAmerta Vol. 1 No. 2 (2024): Vol. 1 No. 2 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v2i1.7250

Abstract

This study explores the translation techniques and accuracy of subtitles in the variety web series Going Seventeen, concentrating on representative speech acts in the "Bad Clue" segment. Using a descriptive qualitative method, the research delves into how these speech acts are translated and their effects on audience comprehension. As variety web series on platforms like YouTube become increasingly popular, effective subtitle translation is vital for bridging linguistic and cultural gaps. The study identified 120 sentences containing representative speech acts, with informing and asserting being the most prevalent, comprising 36% and 33% of the data, respectively. Less frequent acts, such as implying and reporting, enhance the dialogue's depth and engagement. The predominant translation techniques—literal translation, modulation, transposition, and established equivalents—contribute to the accuracy and clarity of the subtitles. Despite these techniques, the overall translation accuracy is moderate or less accuracte, with an average score of 2.56 out of 3, indicating some inaccuracies that affect the intended meaning and emphasis of the speech acts. These insights are crucial for improving subtitle translation practices and enhancing the global audience's understanding of digital content.