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An Analysis of the Accuracy of Google Translate in Translating Academic Sentences: A Literature Review Chuzaimah; Dian Fera Pratiwi; Agus Setiawan; Nurdin Noni; Mersi Axelina
INTERACTION: Jurnal Pendidikan Bahasa Vol. 13 No. 2 (2026): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v13i2.5779

Abstract

The increasing use of machine translation tools in academic contexts has raised concerns about their accuracy in translating complex academic language. This study aims to analyze the accuracy of Google Translate in translating academic sentences through a qualitative literature review. The review synthesized findings from 16 selected studies published between 2014 and 2025 that examined Google Translate or machine translation in academic, educational, and language learning contexts. The studies were selected based on their relevance to translation accuracy, error types, user perceptions, and the use of Google Translate in EFL settings. The data were analyzed using thematic categorization, focusing on grammatical accuracy, lexical and terminological accuracy, contextual and semantic accuracy, translation performance across language pairs, and educational implications. The findings indicate that Google Translate performs relatively well in translating simple and general sentences, especially those with clear structures and common vocabulary. However, its accuracy decreases when translating complex academic sentences, technical terms, culture-bound expressions, and context-dependent meanings. The review also shows that translation accuracy varies across language pairs and is influenced by sentence complexity, linguistic structure, and the availability of language resources. In educational contexts, Google Translate can support students’ comprehension, vocabulary learning, and academic writing, but excessive dependence on the tool may reduce students’ critical language awareness. Therefore, Google Translate should be used as a supportive tool accompanied by critical evaluation and human post-editing. Future studies are recommended to test Google Translate using real academic sentences written by Indonesian EFL students.
EFL Speaking Anxiety in Higher Education: Factors, Impacts, and Interventions Dian Fera Pratiwi; Sultan Baa; Muftihaturahmah Burhamzah; Chuzaimah; Nur Ima
Eduvelop: Journal of English Education and Development Vol. 9 No. 2 (2026): Eduvelop: Journal of English Education and Development
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/eduvelop.v9i2.6595

Abstract

Speaking anxiety remains a persistent affective barrier to oral language development in English as a Foreign Language (EFL) higher education, particularly in Indonesian universities where authentic communication opportunities are limited. Grounded in the Foreign Language Classroom Anxiety (FLCA) framework, this systematic literature review synthesizes the contributing factors, learning impacts, and instructional interventions related to speaking anxiety among EFL university students. Following the PRISMA framework, the review searched Google Scholar, Scopus, Web of Science, ERIC, and manual reference tracking. From 110 initial records, a four-stage screening process yielded 50 peer-reviewed studies published between 2015 and 2026. Data were analyzed through thematic analysis using open, axial, and selective coding. Findings show that speaking anxiety emerges from interacting linguistic (e.g., vocabulary limitations, grammatical difficulties, pronunciation issues, and L1 interference), psychological (e.g., low self-confidence, shyness, and fear of negative evaluation), and situational factors (e.g., evaluative classrooms, time pressure, and unsupportive social dynamics). These factors reinforce avoidance behaviors that hinder communication, participation, cognitive processing, and long-term language proficiency. Four intervention categories were identified: cognitive-affective strategies, social-collaborative approaches, pedagogical redesign, and technology-assisted learning, including AI-based tools. However, implementation remains constrained by limited learner autonomy, time pressures, and unequal digital access. This review demonstrates that mitigating speaking anxiety in EFL higher education requires pedagogical designs that systematically combine scaffolded speaking tasks, psychologically supportive feedback practices, peer-collaborative interaction, and equitable integration of technology-assisted rehearsal tools. By synthesizing fragmented evidence across linguistic, psychological, and contextual dimensions, the study contributes a comprehensive framework for understanding speaking anxiety as both an individual affective challenge and a structurally mediated educational issue. These findings provide a practical evidence base for EFL educators and curriculum designers to develop context-responsive interventions that enhance learners’ oral participation, confidence, and long-term communicative competence.