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Fanny Puji Rakhmi
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Linguistic, Literature, and Translation Studies: LinguAmerta
Published by Politeknik Negeri Jakarta
ISSN : -     EISSN : 31089984     DOI : doi.org/10.32722/jla
Core Subject :
Linguistic, Literature, & Translation research is a scientific journal that publishes the results of research and thinking in English. LinguAmerta Journal is published twice a year in June and December. This journal is published by the study program English for Business & Professional Communication (BISPRO) at the State Polytechnic of Jakarta, Indonesia, in collaboration with universities in the fields of Language, Literature, & Translation. The editorial board of LinguAmerta welcomes unpublished and original works, focusing on linguistics, applied linguistics, literature studies, translation studies, and multilingualism.
Arjuna Subject : -
Articles 25 Documents
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NEW WORD FORMATION PROCESS IN GENERATION Z’S ONLINE DISCOURSE: A CASE STUDY OF ANDREA NICOLE’S SOCIAL MEDIA Salma Puan Iqrina; Dohra Fitrisia; Kismullah Abdul Muthalib
LinguAmerta Vol. 3 No. 1 (2026): June 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v3i1.8363

Abstract

Nowadays, technology has developed significantly. There are significant changes in language and the spread of new languages on social media. This research aims to identify and classify the types of new word formation processes used in Generation Z’s online language on Andrea Nicole’s social media. This qualitative study obtained the data from two social media platforms: Instagram and TikTok. The data were collected through observation and by capturing users’ written language that went through the six types of word formation processes proposed by Yule (2014), found on the social media accounts of Andrea Nicole on Instagram and TikTok, in posts, captions, and her followers’ comment sections, from January-June 2025. This study identified 44 words indicating word formation that often occur on social media today and classified them into six categories: borrowing, compounding, clipping, derivation, acronyms, and multiple processes. Based on the analysis, seven borrowing words, five compounding words, ten clipping words, six derivation words, ten acronym words, and six words formed through multiple processes were found. The words found are often used by many people today. This study provides insight into the widely used process of word formation, especially among younger generations such as Generation Z.
ANALYZING IDIOMATIC TRANSLATION IN TAYLOR SWIFT’S RED Badri; Siti Juleha
LinguAmerta Vol. 3 No. 1 (2026): June 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v3i1.8467

Abstract

This study analyzes the translation of idiomatic expressions in Taylor Swift's song lyrics on her album “Red” from English into Indonesian. Idiomatic expressions are often difficult to translate because their meaning cannot be understood literally based on the words they are composed of. This study aims to identify idiomatic expressions found in song lyrics, analyze the translation techniques used in the Indonesian translation, and describe how the translator maintains the equivalence of meaning and emotional nuance in the resulting translation. This study uses a qualitative descriptive method. Data were taken from several song lyrics on the album *Red* containing idiomatic expressions, then analyzed using Newmark's translation theory and Baker's concept of idioms. The results show that there are three main techniques used in translating idioms: literal translation, free translation, and cultural substitution. Literal translation and free translation techniques were each used 40% of the time, while cultural substitution was used 20%. Free translation is more dominant in idioms with strong emotional meaning, while literal translation is used for idioms with direct structural equivalents in Indonesian. This research also shows that preserving emotional meaning is more important than preserving the original linguistic form. Therefore, translating idioms into song lyrics requires an understanding of language, culture, and emotional nuances to effectively convey the song's message and aesthetic value.
CONCEPTUAL METAPHOR IN LANY'S SONGS: TRANSLATION TECHNIQUES AND SHIFTS INTO INDONESIAN Anantya Anggastie; Dewi Kurniawati
LinguAmerta Vol. 3 No. 1 (2026): June 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v3i1.8836

Abstract

This study analyzes conceptual metaphors in selected LANY song lyrics and examines how they are translated into Indonesian in terms of translation techniques and translation shifts. The data consist of 65 metaphorical expressions drawn from LANY’s six studio albums, with Indonesian translations sourced from the Musixmatch platform. This study employs Conceptual Metaphor Theory by Lakoff and Johnson (2003) to classify metaphor types, translation techniques by Molina and Albir (2002), and translation shift theory by Catford (1965). A qualitative descriptive method was applied using document analysis, domain analysis, taxonomy analysis, componential analysis, and cultural theme analysis. The findings reveal that structural metaphor is the most dominant type (30 data; 46.2%), followed by ontological metaphor (25 data; 38.5%) and orientational metaphor (10 data; 15.4%). Literal translation is the most frequently applied technique (50.8%), followed by modulation (30.8%). Structure shift is the most dominant translation shift (63.08%), followed by class shift (18.46%). The componential analysis further shows that literal translation tends to co-occur with structure shift across all metaphor types, indicating that while metaphorical meaning can often be preserved directly, grammatical restructuring remains necessary due to typological differences between English and Indonesian. These findings affirm that translating conceptual metaphors in lyrical texts requires not only linguistic accuracy but also sensitivity to the emotional and cultural dimensions underlying metaphorical language
WILL ARTIFICIAL INTELLIGENCE REPLACE HUMAN TRANSLATORS AND INTERPRETERS BY 2036? A CONCEPTUAL FRAMEWORK FOR TASK SUBSTITUTION, COMMUNICATIVE RISK, AND HUMAN Mohammed H. Alaqad
LinguAmerta Vol. 3 No. 1 (2026): June 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v3i1.8795

Abstract

Rapid advances in neural machine translation, large language models, and speech-to-speech systems have renewed predictions that professional translators and interpreters will soon become obsolete. This conceptual paper examines whether artificial intelligence (AI) is likely to replace human language professionals between 2026 and 2036. It integrates research on translation technology, human-parity evaluation, interpreting, labour-market change, professional standards, and AI governance. The analysis separates occupation-level replacement from task-level automation and written translation from real-time interpreting. It develops a risk–routinization framework in which the suitability of AI-led, hybrid, or human-led provision depends on task predictability and the severity and reversibility of error. Four propositions follow: routine and measurable tasks are most susceptible to substitution; requirements for human oversight increase with communicative consequence; interpreting retains greater human dependence because of interactional complexity; and professional value shifts from text production toward verification, orchestration, and accountability. The paper argues that AI will absorb a substantial share of repetitive, low-risk, high-volume work and will intensify price and productivity pressures. However, it is unlikely to eliminate translation and interpreting as professions by 2036. Human expertise will remain most defensible in low-resource, culturally embedded, interactive, confidential, and high-consequence contexts. The decisive question is therefore not whether humans or machines translate better in the abstract, but how responsibility should be distributed within human-AI language-service systems.
TRANSLATION SHIFTS AND ACCEPTABILITY OF SLANG IN KSI'S YOUTUBE SUBTITLES Pasha Krisna Mulya; Fanny Puji Rakhmi
LinguAmerta Vol. 3 No. 1 (2026): June 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v3i1.8858

Abstract

This study examines the translation shifts and acceptability of slang expressions found in the Indonesian subtitles of selected KSI YouTube videos. The objectives are to identify the types of slang expressions used, to analyze the translation shifts applied in rendering them into Indonesian, and to evaluate the acceptability of the resulting translations. A descriptive qualitative method was employed, with data collected through content analysis of KSI videos published between November 2025 and March 2026. The data were analyzed using Allan and Burridge's slang classification, Catford's translation shift theory, and Nababan et al.'s translation quality assessment scale, following Spradley's four-stage analysis procedure. A total of 75 slang expressions were identified, dominated by fresh and creative slang (78.67%), followed by flippant (16.00%), acronym (2.67%), and clipping (2.67%) slang. Regarding translation shifts, unit shift was the most frequent (32.00%), followed closely by class shift and structure shift (30.67% each), while level shift (4.00%) and intra-system shift (2.67%) occurred less often. The acceptability assessment showed that most translations (89.33%) were acceptable, 9.33% were less acceptable, and only 1.34% were unacceptable. These findings indicate that the Indonesian subtitles generally succeed in conveying the intended meaning of the source slang expressions while maintaining naturalness, and that grammatical shifts do not necessarily reduce translation quality but instead help produce more natural and communicative subtitles for Indonesian audiences

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