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All Journal Parafrase: Jurnal Kajian Kebahasaan dan Kesastraan Anaphora: Journal of Language. Literary and Cultural Studies
Nisa Nofianty
Universitas Lancang Kuning
Arts Humanities Languange, Linguistic, Communication & Media

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Linguistic Analysis of Translation Techniques in the Song 'Remember Me' from Coco Movie Nisa Nofianty; Juliea Mutiara Insani; Naidelin Indriyani; Refika Andriani; Destina Kasriyati
Anaphora : Journal of Language, Literary, and Cultural Studies Vol. 8 No. 2 (2025): DECEMBER
Publisher : Universitas 17 Agustus 1945 Surabaya, Prodi sastra Inggris, Fakultas Ilmu Budaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/anaphora.v8i2.133206

Abstract

Song lyric translation in animated films must preserve narrative and emotional cues while remaining natural and readable. The objective of this study was to examine how translation techniques used in a machine-generated Indonesian version of “Remember Me” (Coco) related to translation quality. A bilingual corpus of 13 English lyric lines was compiled from LyricsTranslate and was paired with unedited Indonesian outputs produced by DeepL in September–October 2025. Each line pair was coded using Molina and Albir’s 18-technique taxonomy through investigator triangulation, and translation quality was assessed by two expert raters using Nababan and Nuraeni’s rubric for accuracy, acceptability, and readability (1–3 scale). Technique mapping showed a refrain-driven profile: established equivalence dominated (38.46%), especially for the repeated line “Remember me,” followed by modulation (23.08%) and literal translation (15.38%), with amplification, generalization, and calque occurring once each. Quality scores were generally high (mean accuracy 98.72%, acceptability 96.15%, readability 97.44%), but reductions clustered where calque-like collocations and connective-heavy modulation made the Indonesian phrasing less idiomatic and harder to process, particularly in one dense line. The findings suggested that MT lyric output could maintain meaning reliably in short repeated segments, while naturalness remained the main vulnerability in culturally and emotionally loaded lines.
Understanding Corpus Linguistics: A Systematic Review of Concepts, Approaches, and Applications Puput Anggun Maulina; Rury Fadilah Anwar; Juliea Mutiara Insani; Naidelin Indriyani; Nisa Nofianty; Refika Adriani
PARAFRASE : Jurnal Kajian Kebahasaan & Kesastraan Vol. 26 No. 1 (2026): Parafrase Vol. 26 No. 1 Mei, 2026
Publisher : Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/parafrase.v26i1.133427

Abstract

This study aims to systematically review the development of corpus linguistics by examining its concepts, methodological trends, applications, and technological advancements. The research addresses the need for a comprehensive synthesis of corpus linguistics studies in the digital era, as previous studies are often limited to specific contexts. The participants of this study consist of 25 selected research articles obtained through a systematic literature review process using the PRISMA framework, involving identification, screening, eligibility, and quality assessment stages from multiple databases. The method employed is a systematic literature review combined with descriptive and thematic analysis, supported by bibliometric analysis to identify research patterns and trends. The findings reveal that corpus linguistics is widely applied in language learning, linguistic analysis, and technology development, with corpus-based approaches dominating practices. The use of authentic language data enhances learning, improves engagement, and supports data-driven analysis. Additionally, technological tools such as corpus analysis software and artificial intelligence play a significant role in increasing the efficiency and accuracy of linguistic analysis. However, challenges remain in terms of corpus literacy, data validity, and access to resources. This study concludes that corpus linguistics contributes significantly to modern linguistic research and highlights the importance of integrating technology and adaptive approaches
Co-Authors Destina Kasriyati Juliea Mutiara Insani Naidelin Indriyani Puput Anggun Maulina Refika Adriani Refika Andriani Rury Fadilah Anwar