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e-LinguaTera
Published by Universitas Buddhi Dharma
ISSN : 27973913     EISSN : 27972666     DOI : https://doi.org/10.31253/lt.v2i2
Core Subject : Humanities, Social,
Humanities Social Sciences
The journal of eLinguaTera is an open access journal system with an online version. It is managed by the Faculty of Social and Humanities, Universitas Buddhi Dharma, Majoring of English Literature. The main purpose of the eLinguaTera journal is to provide of scientific publication for academic writers, researchers, and students to share contemporary any academical works in the fields of linguistics, literature, and cultural studies. This journal is expected to add the repertoire of knowledge and exchange of useful scientific information as the reference to the further of the research. eLinguaTera has eISSN and pISSN validated by the Indonesian Institute of Sciences (LIPI). In addition, the articles of the journal will be published once in 6 months. The Editorial Board accepts scientific articles and journals based on the rule of writing template conducted by the eLinguaTera Journal manager.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 54 Documents
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English: Bahasa Sindi Rahmawati; Adih Cahyadi
e-LinguaTera Vol. 6 No. 1 (2026): e-LinguaTera, Universitas Buddhi Dharma
Publisher : Fakultas Sosial dan Humaniora - Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/lt.v6i1.3481

Abstract

This research title is “Comparative Analysis of Machines Translation from English to Indonesia in Literature Text”. The aims of this research is to compare the quality of both machines translation in translating literature work. The data was taken from short story “ The Ransom of Red Chief” by O. Henry by using the theory from (Newmark, 1988). The study finds out of 8 methods there are 5 methods used by DeepL Translate and Google Translate. In the result, DeepL Translate mostly uses the Literal Translation (48,43%), followed by Faithful Translation (44.59%), then Word for Word Translation (4,18%), Semantic Translation (1.74%) and Adaptation Translation (1.04%). While Google Translate mostly uses the Literal Translation (54,7%), followed by Faithful Translation (37.97%) then Word For Word Translation (4,87%) then Semantic Translation (1.74%) and Free Translation (0.69%). From the eight methods word for word translation and literal translation is the less capable for being used as the method in translation. Hence, as the data showed Google Translate used the most word for word translation and literal translation than DeepL Translate it is shown that the quality of DeepL Translate is better than Google Translate.
Lexical Cohesion Analysis and It’s Impact on Audience Engagement in Delorians Song Lyrics From the Single Album vendy zhang; Shenny Ayunuri Beata S; Sonya Ayu Kumala
e-LinguaTera Vol. 6 No. 1 (2026): e-LinguaTera, Universitas Buddhi Dharma
Publisher : Fakultas Sosial dan Humaniora - Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/lt.v6i1.3485

Abstract

This research aims to analyze the use of lexical cohesion in the lyrics of Delorians' songs from their single album, utilizing Hasan and Halliday's (1976) theory of lexical cohesion and Brown and Yule's (1983) discourse analysis. The focus of the study is to identify the types of lexical cohesion such as repetition, synonymy, superordinates, and general words, and assess their impact on audience engagement. A qualitative content analysis approach was employed to examine six songs from the album. The research collected primary data through lyrical analysis and secondary data from audience reactions on social media platforms such as YouTube and Instagram.The findings reveal that repetition is the most dominant element, contributing to the thematic and emotional coherence of the lyrics. Other lexical devices, including synonymy, superordinates, and general words, also play key roles in enhancing the cohesiveness and interpretative depth of the lyrics. These cohesive devices not only support the emotional narratives of the songs but also affect audience engagement, as evidenced by listener feedback and interaction with the music. The study concludes that lexical cohesion in song lyrics significantly enhances listener interpretation and emotional connection, thus offering valuable insights into how language strategies in songwriting affect audience perception. Keywords: lexical cohesion, repetition, synonymy, superordinates, discourse analysis, audience engagement
The Role of Multilingualism in Rush Hour 3 and the Impact to the Audience Angie; Lilie Suratminto; Irpan Ali Rahman
e-LinguaTera Vol. 6 No. 1 (2026): e-LinguaTera, Universitas Buddhi Dharma
Publisher : Fakultas Sosial dan Humaniora - Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/lt.v6i1.3486

Abstract

This study examines the role of multilingualism in the film "Rush Hour 3" and its impact on narrative structure, character development, audience reception, and cultural representation. Utilizing Stuart Hall's Cultural Representation Theory (1997) and Audience Reception Theory (1980), this research explores how the integration of English, Japanese, French, and Chinese languages contribute to the film's storytelling and audience engagement. The analysis aims to understand how linguistic diversity within the film enhances cultural representation and fosters cross-cultural understanding. Mixed-methods approach was employed, combining qualitative and quantitative methodologies. The qualitative component involved a detailed textual analysis of "Rush Hour 3" to assess how multilingual elements enrich the narrative and character arcs. The quantitative component analyzed empirical data from YouTube reactions and comments to gauge audience responses to the film's multilingualism. This dual approach provided a comprehensive understanding of the impact of multilingualism on both the film’s content and its reception. Findings reveal that multilingualism in "Rush Hour 3" significantly enhances narrative authenticity and character depth, making the story more engaging and relatable. Audience reactions indicated a positive reception, with many viewers appreciating the cultural diversity and humorous elements derived from language barriers. However, some criticisms regarding stereotypes and negative cultural perceptions were noted. Overall, the study concludes that multilingualism in film can enrich narrative complexity, foster cross-cultural understanding, and enhance audience engagement, while also highlighting the need for mindful representation to avoid reinforcing stereotypes.
The Analysis of Language Styles Used by the Main Characters in the Dialogues in Webtoon Get Schooled Angelina; Riris Mutiara Paulina Simamora; Adrallisman
e-LinguaTera Vol. 6 No. 1 (2026): e-LinguaTera, Universitas Buddhi Dharma
Publisher : Fakultas Sosial dan Humaniora - Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/lt.v6i1.3488

Abstract

This thesis explores the language styles used by Na Hwajin and Im Hanrim, the main characters in the webtoon Get Schooled by Chae Yong Taek. The analysis is based on Martin Joos' language style theory from his book The Five Clocks, which categorizes language into five styles: Frozen, Formal, Consultative, Casual, and Intimate. The study aims to identify and categorize the language styles of these characters, providing insights into their use of dialects and the implications within the narrative context. The research questions focus on identifying the language styles used by Na Hwajin and Im Hanrim and determining the most dominant styles. The goal is to show the different language styles and identify the most prevalent ones among the main characters. The scope of this study includes analyzing the language styles in episodes 1 to 111 of the webtoon, concentrating on the dialogues of Na Hwajin and Im Hanrim. Using Joos' theory and supporting references from books, journal articles, and online sources, the study analyzes the dialogues, revealing that Na Hwajin utilizes 64 language styles and Im Hanrim 45. For Na Hwajin, the breakdown is: 0% Frozen, 0% Formal, 32.8% Consultative, 67.2% Casual, and 0% Intimate. For Im Hanrim, it is: 0% Frozen, 2.2% Formal, 37.8% Consultative, 60% Casual, and 0% Intimate. The most dominant language style for both characters is the Casual Style, reflecting their informal and everyday conversational interactions. The Consultative Style is the second most dominant, highlighting their roles as teachers.

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