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…

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…

This three-manuscript dissertation attempts to answer the question: "How does students' English language proficiency (ELP) inform the availability, structure, and use of English language accommodations and intervention to support the academic achievement of English learner (EL) students?" The question is addressed using three independent…

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…

Prompted by the challenges faced by teachers in balancing grammar and content in English classes, coupled with the poor English proficiency of rural Odia medium school students, the study aimed to devise an intervention that could balance content and grammar, thereby enhancing the grammar competency and content comprehension of eighth-grade…

When reading Chinese, skilled native readers regularly gain a preview benefit (PB) when the parafoveal word is orthographically or semantically related to the target word. Evidence shows that non-native, beginning Chinese readers can obtain an orthographic PB during Chinese reading, which indicates the parafoveal processing of low-level visual…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

In recent years, marked gains in the accuracy of machine translation (MT) outputs have greatly increased its viability as a tool to support the efforts of English as a foreign language (EFL) students to write in English. This study examines error corrections made by 58 Korean university students by comparing their original L2 texts to that of MT…

Testing organizations are faced with increasing demand to provide subscores in addition to the total test score. However, psychometricians argue that most subscores do not have added value to be worth reporting. To have added value, subscores need to meet a number of criteria: they should be reliable, distinctive, and distinct from each other and…

Some students are unable to fully comprehend lecture content delivered in English as a medium of instruction (EMI) because of their low linguistic competence. This negatively impacts their academic emotions and learning satisfaction. Speech-enabled language translation (SELT) technology was applied in this study to simultaneously translate lecture…

Bilinguals recognize words with shared morphology and phonology cross-linguistically (i.e., cognates) faster than words that do not have these characteristics. Moreover, higher phonological overlap in cognates enhances the effects, which suggests that phonology eases word recognition. However, it is currently unclear whether words compete purely…

Purpose: Web-based language learning (WBLL) materials have long been favored by English language instructors because they are plentiful, easily accessible, user-friendly and, most importantly, free. This research looks into the effects of learning the simple perfect tense translation in three different English translation classes that used three…

EFL university students in general and Iranian EFL university learners in particular, specifically in the commencement of their study at bachelor degree prefer to have their assigned English texts translated into mother tongue since they do not have a good command of the language. Machine translation (MT) has recently turned into a favorite tool…

This study investigates the comparability of three parallel translation tasks selected from a College English Test Band-6 (CET-6) and explores the major linguistic features contributing to translation difficulty. Data obtained from the participants' subjective rating, eye-tracking, and performance evaluation were triangulated to measure the…