Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…

Purpose: This article examines the use of English medium instruction (EMI) for teaching Japanese as a foreign language (JFL) by non-native speakers with a focus on multilingual classrooms. It also explores teachers' positive and negative beliefs about using EMI in classroom settings for JFL instruction. Methods and procedure: 274 non-native…

The 2025 Central States Conference on the Teaching of Foreign Languages was held in Kansas City, Missouri on March 13-15. This year's theme, "Global Goals, Global Languages," highlighted the partnership of the United Nations' 17 Sustainable Development Goals (Global Goals) and language curricula. The Global Goals were created to address…

Chunking, the process of breaking texts into meaningful units, is a fundamental skill in interpreting. This study investigates the potential benefits of a computer-assisted chunking method, visual-syntactic text formatting (VSTF) to improve translators' performance. In the study, three passages with similar readability were randomly presented to…

A growing consensus sees the bilingual lexicon as an integrated, nonselective system. However, the way bilingual experience shapes the architecture and functioning of the lexicon is not well understood. This study investigates bilingual lexical-semantic representation and processing employing written translation priming. We focus on the role of…

The Imperfect/Preterite aspectual contrast is one of the most studied topics in Spanish as a second language research. However, there are few works focused on describing the acquisition of modal uses of the Imperfect by L2 speakers. This paper investigates the L1 Russian L2 Spanish speakers' mastery of politeness, evidential and nonfactual modal…

The research topicality is determined by the problem of lack of qualified specialists who have a high level of foreign language proficiency and the ability to carry out effective professional foreign language communication. The study involved the following methods: Rokich's Value Orientations Test, Nemov's methods for diagnosing the expectation of…

Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in…

Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…

Incorporating Vygotsky's concepts of scaffolding and Zone of Proximal Development, this paper presents a qualitative study examining student roles in dialogic peer feedback learning, focusing on Chinese English-as-a-foreign-language (EFL) students in mixed translation proficiency triads within an English-Chinese translation course. During feedback…

With the dramatic improvement in quality, machine translation has emerged as a tool widely adopted by language learners. Its use, however, has been a divisive issue in language education. We conducted an approximate replication of Lee (2020) about the impact of machine translation on EFL writing. This study used a mixed-methods approach with…

Integrating internationalized songs into English language teaching has emerged as a dynamic strategy to ignite students' interest and enhance their language proficiency. This article comprehensively explores internationalized songs' significance in language education. A central focus lies on a detailed case study that demonstrates how the…

This study explores how machine translation (MT) influences the English writing process and performance of 29 9th-grade EFL students with limited English proficiency. Over 10 writing tasks conducted during the semester, participants had varied accessibility to MT. The research compared their performance when MT was permitted versus when it was…

Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…