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All Journal CALL Mitra Akademia: Jurnal Pengabdian Masyarakat Buletin Poltanesa ACCENTIA: Journal of English Language and Education EPIGRAM (e-journal) JASL - Journal of Applied Studies in Language Jurnal Kata : Penelitian tentang ilmu bahasa dan sastra Journal of Language and Literature Studies Jurnal Linguistik Terapan Linguistic, Literature, and Translation Studies: LinguAmerta Studies in English Language and Education
Ina Sukaesih
Politeknik Negeri Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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ANALYSIS OF TRANSLATION SHIFTS IN VERB PHRASES AND THE IMPACT ON SINGABILITY AND SENSE IN MAMMA MIA! HERE WE GO AGAIN (2018) Nisrina Firyal Prilandhia; Ina Sukaesih; Farizka Humolungo
Epigram Vol 22 No 1 (2025): Vol. 22 No. 1 Tahun 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/epi.v22i1.7969

Abstract

This study examines translation shifts in verb phrases and their impact on the singability and sense of song lyrics in the subtitles of the musical film Mamma Mia! Here We Go Again (2018), available on the Max streaming platform. Based on Catford’s (1965) theory of translation shifts and Low’s (2017) translation song criteria of singability and sense, this study analyzes how shifts in verb phrase structure affect the musical and narrative integrity of translated lyrics. 18 songs from the film were selected for analysis. The study categorizes the translation shifts into unit, class, structure, and intra- system shifts and evaluates whether these shifts preserve or alter the original meaning and performability of the lyrics. The findings highlight the challenges of subtitle translation in musical films and offer insights for preserving the emotional and musical experience in the target language. Keywords: translation shift, verb phrase, singability, sense, musical film
Investigating Romantic-Tone Transfers in the Human Translation Compared to AI Subtitling: A Case Study of the Dilan 1990 Film Rakhmi, Fanny Puji; Abdillah, Taufik Eryadi; Humolungo, Farizka; Sukaesih, Ina; Indrayani, Septina
Journal of Language and Literature Studies Vol. 6 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jolls.v6i1.3570

Abstract

This paper examines how romantic tone is carried across languages in film subtitling, where text must be brief, well-timed, and easy to read. We focus on Dilan 1990, a popular Indonesian teen romance known for playful, indirect lines that rely on inference and rhythm. Today, many studios generate first-pass subtitles with neural machine translation and then rely on human post-editors to refine style and timing. We ask how well AI handles this kind of subtle, affect-rich dialogue and where human editing still adds value. We compare 24 well-known lines addressed by Dilan to Milea in two versions: the official English subtitles and outputs produced by ChatGPT under the same line-level constraints. Using a practical set of translation techniques (e.g., modulation, compression, adaptation) and a tone rubric (playfulness/coyness, warmth, persona/rhythm), we perform a line-by-line analysis. The human subtitles tend to keep implicature and pace through concise, idiomatic choices that fit character and reading speed. The AI versions are fluent but more likely to explain subtext or lengthen the line, which can blunt teasing and shift the scene’s mood. AI can match human choices when the source line is already compact and direct. Where meaning depends on ellipsis, metaphor, and micro-timing, human post-editing remains crucial. We close with practical guidelines for NMT-plus-post-editing workflows in romance subtitling.
Penerapan Teknik Penerjemahan dalam Peningkatan Kompetensi Penerjemah PT Indo Lingua Translocalize Ina Sukaesih; Farizka Humolungo; Septina Indrayani; Fanny Puji Rakhmi; Taufik Eryadi Abdillah
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 9 No 1 (2026): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

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Abstract

 This community service program aimed to implement research findings on Molina and Albir’s (2002) translation techniques among translators at PT Indo Lingua Translocalize. The partner is a language service company established in 2009, specializing in Indonesian translation, offering services such as translation, interpreting, and complementary services, including subtitling, desktop publishing (DTP), voice-over, copy-editing, reviewing, linguistic validation, and CAT tools (SDL Trados) distribution. The program was initiated in response to the partner’s need to enhance the quality of literary translation, particularly in terms of accuracy, acceptability, and readability of cultural elements. The program was conducted through theoretical input, interactive discussions, translation practice, and evaluation using pre-tests and post-tests. The method employed was Participatory Action Research (PAR) with a participatory empowerment approach. The findings indicate improved participants’ understanding of translation techniques and their ability to appropriately apply these techniques to literary texts. Participants also reported positive responses regarding the relevance of the materials, clarity of delivery, and professional benefits. This program contributes to strengthening translators’ competence and supports the preservation of local languages through research-based translation practices.
READABILITY ASSESSMENT OF AI-DRIVEN INDONESIAN JOURNALISTIC TRANSLATIONS: COMPARING CHATGPT AND DEEPL PERFORMANCE Farizka Humolungo; Fanny Puji Rakhmi; Ina Sukaesih; Ince Dian Aprilyani Azir; Talenta Gloria Napitupulu
Jurnal Kata Vol. 10 No. 1 (2026): Jurnal Kata : Penelitian tentang Ilmu Bahasa dan Sastra
Publisher : LLDIKTI Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22216/7ngabs09

Abstract

This study investigates the readability of Indonesian to English translations of journalistic texts produced by ChatGPT and DeepL across the domains of law, politics, and environment using articles from Tempo and Kompas. A qualitative descriptive comparative design was employed. Six source texts were translated under controlled procedures, with standardized prompts for ChatGPT and standard input for DeepL. Two expert raters evaluated segment level readability using a three point rubric adapted from prior work. Before scoring, the raters reviewed and aligned category descriptors to support shared interpretation. Readability scores were summarized by outlet and topic, and rater comments from a focused discussion were used to contextualize patterns. The findings show small and patterned differences between systems. One rater tended to rate ChatGPT as more readable, while the other found broad parity. Readability was highest for environmental reporting and most challenging for legal texts that contain dense institutional references. Kompas items were generally read as more accessible than Tempo items. The results point to domain sensitive strengths for each system and suggest targeted post editing as a practical lever to support clarity for public facing news.
Co-Authors Abidin, Azizah Ivana Ade Sukma Mulya Ade Sukma Mulya Anggia Yanuar Prasastri Chandra, Yanita Ella Nilla Dewi Kurniawati Eky Erlanda Edel, Eky Erlanda Endang Purwaningrum Endang Purwaningrum Farizka Humolungo Fatikha, Zahwa Genta Pertiwi Hayuning Pandawi Imam Syafganti Ince Dian Aprilyani Azir Indrayani, Septina Kurniawati , Dewi Lenny Brida Linda Sari Wulandari Mariam , Iis Mawarta Onida Sinaga Melissa Lydia Mubarak, Fauzi Nisrina Firyal Prilandhia Nur Hasyim Putra, Yoshua Ardy Rakhmi, Fanny Puji Rd Safrina Riza Hadikusuma Safitry, Tantri Sari Safitry Sari Safitry, Tantri Septina Indrayani Septina Indrayani Sofa, Nidia Talenta Gloria Napitupulu Taufik Eryadi Abdillah Yoyok Sabar Waluyo