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Lingua : Journal of Linguistics and Language
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 30323304     DOI : https://doi.org/10.61978/lingua
Core Subject : Education,
Languange, Linguistic, Communication & Media
Lingua : Journal of Linguistics and Language with ISSN Number 3032-3304 (Online) published by Indonesian Scientific Publication, is a leading scholarly journal that has undergone a rigorous peer-review process and is committed to open access publication. Established to advance the field of linguistics and language studies, Lingua is dedicated to publishing high-quality research, theoretical analyses, and practical applications in linguistics and language studies, ensuring the highest standards of academic integrity.
Arjuna Subject : Seni dan Humaniora - Bahasa dan Linguistik
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 3 (2025): September 2025" : 5 Documents clear
Genre Aware Language Modeling for Indonesian Academic Writing: Building and Evaluating IndoSciBERT Aribowo, Eric Kunto; Prima, Anggra
Lingua : Journal of Linguistics and Language Vol. 3 No. 3 (2025): September 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/lingua.v3i3.992

Abstract

This study introduces a genre-annotated academic corpus for Indonesian and evaluates IndoSciBERT, a domain-specific NLP model trained on this resource. To address the scarcity of rhetorical datasets in low-resource languages, we compiled a 52,300-document corpus from DOAJ and SINTA-indexed journals (2015–2025) and annotated 5,200 paragraphs using the CARS and Argumentative Zoning frameworks. IndoSciBERT was then fine-tuned for rhetorical classification. We employed GROBID for PDF to TEI conversion, TEITOK for annotation, and SIPEBI/KBBI for spelling normalization. The IndoSciBERT model was benchmarked against IndoBERT on rhetorical classification tasks. IndoSciBERT achieved an F1 score of 0.82 and an accuracy of 84.2%, outperforming the baseline model and showing strong reliability in distinguishing rhetorical moves. These results affirm the value of domain-specific modeling for educational applications. The annotated corpus not only supports genre analysis, pedagogy, and automated writing feedback, but also establishes a foundation for inclusive NLP. In particular, this work makes a distinct contribution by offering a sustainable path to enhance academic literacy in Bahasa Indonesia through intelligent, genre-aware tools.
Urbanization and Dialect Decline in Indonesia: A Study of Intergenerational Language Shift and Policy Gaps Jala, Jusrianto; Idayanti; Kusuma, Sonya Ayu
Lingua : Journal of Linguistics and Language Vol. 3 No. 3 (2025): September 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/lingua.v3i3.997

Abstract

Urbanization has reshaped Indonesia’s linguistic landscape, especially in major cities where Bahasa Indonesia (BI) increasingly replaces local dialects. This study examines how urbanization, generational change, and policy frameworks affect dialect use in urban Indonesia. Drawing on data from the 2020 Long Form Census, generational language use statistics, and comparative policy analysis, this research contrasts low usage urban provinces like Jakarta and Kepulauan Riau with dialect stronghold regions such as Bali and Yogyakarta. The methodology combines quantitative data analysis with qualitative insights, including census based trends in dialect use across generations and detailed case studies of local policy environments. Key findings reveal that urban centers with limited institutional support experience significant dialect erosion, especially among younger cohorts. In Jakarta, only 0.5% of residents use local dialects with neighbors, while Bali and Yogyakarta report over 85%. Generational data further demonstrate a steep decline in dialect usage, with Post Gen Z exhibiting the lowest rates. These results underscore that dialect decline is not a deterministic consequence of national language policy but is strongly mediated by regional planning, cultural engagement, and community agency. Regions with proactive policies like Bali’s Pergub 80/2018 have successfully maintained dialect vitality through curriculum inclusion and public media usage. In conclusion, urban dialect preservation requires an integrative policy framework that balances national cohesion with local linguistic rights. Digital media, youth engagement, and community led initiatives are essential to reversing intergenerational language loss. This study contributes to sociolinguistic literature by highlighting the critical role of local governance and intergenerational dynamics in shaping linguistic resilience.
Cultural Pragmatics in the Classroom: The Role of Local Markers in Indonesian EFL Discourse Dinihari, Yulian; Boeriswati, Endry; Prima, Anggra; Noviabahari, Jannatul Laily; Cromico, Jimmy
Lingua : Journal of Linguistics and Language Vol. 3 No. 3 (2025): September 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/lingua.v3i3.1008

Abstract

This study investigates the interactional functions of local pragmatic markers (PMs) in Indonesian English as a Foreign Language (EFL) classrooms. While pragmatic markers such as okay and so are widely documented in global academic discourse, local markers like kan, dong, and sih remain underexplored. The objective of this research is to analyze how these culturally embedded markers support pedagogical interaction and contribute to classroom discourse management. Data were taken from transcripts of six Indonesian EFL classes. A corpus-based approach was applied using the IRF (Initiation–Response–Feedback) model and function-based coding. Marker frequency was normalized per 1,000 words and categorized by speaker role, turn position, and discourse function. To provide comparison, data from the MICASE and ELFA corpora were also analyzed. Results show that local PMs serve both textual and interpersonal functions. Teachers used kan to affirm responses, dong to encourage participation, and nah to mark procedural shifts. These markers enhanced Classroom Interactional Competence by facilitating smoother transitions, reducing student anxiety, and promoting learner engagement. Compared to MICASE and ELFA, which lack these markers, the Indonesian classrooms demonstrated a discourse style shaped by cultural values such as consensus and relational harmony. The findings highlight the pedagogical significance of integrating local pragmatic norms into EFL instruction. Recognizing and leveraging these markers can enhance communicative effectiveness and cultural inclusivity in language education. This study contributes to expanding models of pragmatic competence and affirms the importance of localized discourse analysis in multilingual educational contexts.
Corpus Linguistics in Discourse Analysis: Toward Inclusive and Critical Frameworks Wiyanti, Endang; Bahari, Septiyan Darma; Ayuningtyas, Diah Ikawati; Wahyuddin, Nur rahmah
Lingua : Journal of Linguistics and Language Vol. 3 No. 3 (2025): September 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/lingua.v3i3.1036

Abstract

This study provides a comprehensive narrative review of the integration of corpus linguistics and discourse analysis, examining how methodological and contextual factors influence the field. The objective is to assess the role of corpus methodologies in enhancing discourse analysis while identifying key challenges and future directions. A systematic search of major databases including Scopus, PubMed, and Google Scholar was conducted using targeted keywords related to corpus linguistics and discourse analysis. Inclusion criteria prioritized peer-reviewed empirical and theoretical studies published in the last decade, while irrelevant and non-scholarly works were excluded. The analysis identified four major themes: technological integration, pedagogical applications, policy and institutional contexts, and socio-cultural influences. Results show that technological tools have greatly improved linguistic analysis, though regional disparities in access persist. Pedagogical applications demonstrate improved student outcomes, yet adoption varies across educational cultures. Policy frameworks were shown to shape discourse in areas such as migration and public health, while socio-cultural factors were found to be critical in constructing identities and narratives. The discussion highlights systemic barriers including funding inequalities and political restrictions, as well as opportunities for methodological innovation through integrated frameworks and collaborative research. The review concludes that advancing corpus linguistics in discourse analysis requires both methodological pluralism and systemic reform, with implications for education, policy, and global discourse studies.
Motivation, Emotion, and Systemic Factors in Second Language Acquisition: A Narrative Review Putri, Cicilia Deandra Maya; HR, Sumarlin Rengko
Lingua : Journal of Linguistics and Language Vol. 3 No. 3 (2025): September 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/lingua.v3i3.1046

Abstract

This narrative review synthesizes empirical and theoretical insights on how emotions—such as enjoyment and anxiety—shape language learning. Literature was collected from Scopus, PubMed, Google Scholar, and ERIC using keywords related to emotions, motivation, and affective dynamics in SLA. Positive emotions were found to enhance motivation, cognitive engagement, and communicative competence, while negative emotions, particularly anxiety, constrained attention and memory. Motivation emerged as a mediator linking emotions to achievement, and teacher–student interactions and peer support were identified as key drivers of emotional well-being. Cross-cultural evidence shows that systemic and cultural contexts significantly shape emotional experiences, while technology and affect-sensitive tools reduce anxiety and increase engagement. Policies that integrate socio-emotional learning, teacher training, and culturally responsive practices are essential. Future research should adopt longitudinal and mixed-method approaches to capture the dynamic interplay of emotions in SLA.

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