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All Journal Lexeme : Journal of Linguistics and Applied Linguistics
Silaban, Jelly Prima Krisnawati
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Education Languange, Linguistic, Communication & Media

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Text Complexity in Digital Language Learning: Analyzing the Readability and Lexical Density of Duolingo's Guidance Textbook Azzahra, Sekar; Silaban, Jelly Prima Krisnawati; Sinar, Tengku Silvana
Lexeme : Journal of Linguistics and Applied Linguistics Vol. 7 No. 1 (2025): JANUARY 2025
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/ljlal.v7i1.44985

Abstract

This paper establishes the lexical density and readability levels of the Duolingo guidance textbook, with the view of establishing further the accessibility levels that the textbook has for use in language learning by users. Qualitative content analysis was conducted on 10 segments of the guidance text; lexical density was determined through content word proportions analyzed and readability by the Flesch Reading Ease formula. The results ranged between 47.6% and 56.1% for lexical density, while for nouns, just one word class, the most frequent class of words for all observed segments was 24.9-32.5%. Scores for readability ranged from 53.21 to 85.2. For example, "How to Test Your Best" sections obtained very high readability scores of 85.2, whereas sections more suited to the content, such as "Reading Texts", scored as low as 53.21. Further analysis then showed that there indeed was a strategic range in the section's complexity: the technical content was generally higher in lexical density and low in readability scores, while practical guidance sections maintained higher accessibility. Given this is the conclusion, recommendations go to Duolingo on adding extra scaffolding mechanisms for complex parts by developing supplemental material at different proficiencies, including adaptive learning whereby the complexity of the content would change based on performance. Also, periodic assessment of textual complexity across different versions guarantees that users are uniformly having their experience across the world. The current study added to the cognition of how digital language learning materials balance the issues of accessibility and educational effectiveness
The Language of Engagement: Speech Functions and Mood in the Berkeley Exec Ed Podcast Silaban, Jelly Prima Krisnawati; Azzahra, Sekar; Nurlela
Lexeme : Journal of Linguistics and Applied Linguistics Vol. 7 No. 2 (2025): JULY 2025
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/ljlal.v7i2.47300

Abstract

This paper investigates the interpersonal functions in the discourse of the Berkeley Exec Ed podcast, specifically the episode "The Science of Happiness & the Greater Good," using the Systemic Functional Linguistics (SFL) framework. It explores how language functions in interaction, conveys information, and entertains the audience by applying speech functions and mood types. A qualitative approach is used to analyze clause separations in the podcast transcript, which are then categorized based on speech functions—such as statements, questions, commands, and offers—and their corresponding moods: declarative, interrogative, and imperative. Most of the interactions (58.1%) are realized through statements using declarative moods. This trend indicates that the hosts aim to present information in a manner that is authoritative and informative, thereby building credibility and trust. Other functions include questioning (11.6%) and inviting (16.3%), which utilize interrogative and imperative moods, respectively, to encourage audience participation and engagement. This strategic interplay of linguistic elements demonstrates how speech functions and mood types contribute to the dynamism, interactivity, and effectiveness of the podcast discourse. The study highlights the crucial role of interpersonal language functions in fostering meaningful connections and maintaining audience interest in podcast formats. It also offers insights that can inform broader practices in media communication and content creation
Social Actor Representation in Prabowo Subianto’s 2024 Debate Discourse Silaban, Jelly Prima Krisnawati; Ilma, Dzikri; Sembiring, Pemina Br.; Sinar, T. Silvana
Lexeme : Journal of Linguistics and Applied Linguistics Vol. 7 No. 2 (2025): JULY 2025
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/ljlal.v7i2.51304

Abstract

This study examines how social actors are represented in Prabowo Subianto’s discourse during the first 2024 Indonesian presidential debate. Drawing on Theo van Leeuwen’s (2008) Social Actor Theory within the framework of Critical Discourse Analysis (CDA), the study analyzes seventeen selected utterances to uncover the ideological and discursive strategies employed to construct political identity and reinforce legitimacy. Using a qualitative descriptive design, the data were obtained from the official debate transcript and analyzed through categorization of inclusion, exclusion, activation, personalization, and other representation strategies. The findings reveal that Prabowo frequently activates himself as a patriotic reformer, elevates the people as sovereign decision-makers, background institutions, and subtly delegitimizes political opponents through irony, contrast, and historical recontextualization. The study also shows how humor, metaphor, and informal language are strategically used to foster emotional proximity with the public. These strategies contribute to building a persuasive and ideologically charged public persona. The results demonstrate that live political performance in presidential debates functions as a site of symbolic authority construction and ideological negotiation. This research offers both theoretical and empirical contributions to discourse studies and political communication, particularly in the context of contemporary Indonesian democracy.
Co-Authors Azzahra, Sekar Ilma, Dzikri Nurlela Sembiring, Pemina Br. Sinar, T. Silvana Tengku Silvana Sinar