Skip to content
Open access

Perceptions of EFL Students Regarding the Use of Machine Translation Tools in Learning English

Jul 2026 · ANGLOPHONE: Journal of English Linguistics, Literature & Education Studies · Vol 1, pp. 018-027 · 0 citations · 20 references

TL;DR

The findings of the research revealed that EFL learners at the university should reconsider and reorganize translation for better results based on their understanding.

Abstract

The present study seeks to explore how English as a foreign language (EFL) learner perceive the use of machine translation (MT) for translating words or texts into English. The research type is qualitative descriptive, and the respondents are 13 students who use this technology. Data were collected from machine-supported translation quality assessment and student questionnaires implemented in translation courses. The findings of the research revealed that EFL learners at the university should reconsider and reorganize translation for better results based on their understanding. Machine translation tools are yet another alternative for meaning-making in a foreign language. This MT can also be utilized as a dictionary. Automatic translation is helpful and makes it very easy, as it gives the general meaning of the words. However, students also acknowledge that although machine translation facilitates and expedites their translation tasks, the output is not always accurate in terms of contextual appropriateness and grammatical precision. Overall, despite certain limitations, machine translation remains a highly beneficial tool in language learning and continues to serve as an effective resource for enhancing vocabulary acquisition and supporting comprehension in second language learning contexts. Keywords: EFL; Machine Translation; Translation Accuracy; Vocabulary learning; student perception

Read PDF

Similar papers

Review Open access Aug 2026

Students’ Perceptions of the Use of Machine Translation in Learning English for Non-English Department

Machine translation (MT) has become an increasingly important technology in English language learning, particularly for students with limited English proficiency. However, previous studies have mainly focused on English department students or the technical performance of MT, while the perceptions of non-English departm...

Nisrina Amalia Rizqi, I. Hapsari · 0 citations
Open access Aug 2026

Students’ Perception of Using the Literal Translation Method to Translate Descriptive Text

Literal translation is commonly used by student translators because it helps them retain the words and sentence structures of the source text. However, its use in translating descriptive texts can become problematic when closely following the original structure leads to unnatural or inappropriate expressions in the tar...

Farid Akhbar Fardillah, Ummi Nur Laila Sulistyani · 0 citations
Open access Jul 2026

Between Convenience and Accuracy: EFL Students' Perceptions of Google Translate in Academic Translation Tasks

Qualitative data show that students treat Google Translate as a starting point rather than a final product, highlighting an urgent need for explicit post-editing instruction, critical digital literacy, and guided frameworks for machine translation use in language pedagogy within under-resourced educational settings.

Susi Astiantih, Aqzhariady Khartha, Sofyan Sukwara Akfan et al. · 0 citations
Open access Aug 2026

An Investigation of Lexical Choices in Translation Among EFL Students

This study aims to (1) identify and describe the characteristics of lexical choices in EFL students’ Indonesian–English translations and (2) investigate the factors influencing students’ lexical choices during the translation process. A qualitative descriptive approach was employed, involving 20 fourth-semester EFL stu...

Siti Rahmatiya Buyu, Novriyanto Napu, Sri Widyarti Ali · 0 citations
Open access Jul 2026

Machine translation pedagogy in the Arabic-English classroom: Insights from a UAE-based data-informed approach

A glocalized framework is proposed—that is, one that merges global MT-literacy principles with locally attuned pedagogies—for translator education, integrating analytics-based reflection, culturally responsive pedagogy, and data-informed curriculum design to connect global technology with regional linguistic realities.

Noureldin Mohamed Abdelaal · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.