Multilingualism presents both a challenge and an opportunity for Natural Language Processing, with code-switching representing a particularly interesting problem for computational models trained on monolingual datasets. In this paper, we explore how code-switched data affects the task of Machine Translation, a task which only recently has started…

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…

It has been widely recognised that plurilingual pedagogy offers many benefits both for language learning and learning in general. However, in contexts where the linguistic profile of students is diverse, it can still be challenging for teachers to view working with the language resources of their students as feasible. In this article, we discuss…

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.…

Sign languages present particular challenges to language assessors in relation to variation in signs, weakly defined citation forms, and a general lack of standard-setting work even in long-established measures of productive sign proficiency. The present article addresses and explores these issues via a mixed-methods study of a human-rated…

In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…

Recent developments in machine translation (MT) might have led some people to believe that soon professional translation will not be needed, but most translator trainers are aware of the high demand for the quality that MT systems cannot deliver without human intervention. It is thus important that professional translators, trainers and their…

In recent years, an array of studies has focused on 'translationese' (i.e., unique features that manifest in translated texts, causing second language (L2) writings to be similar to translated texts but different from native language (L1) writings). This intriguing linguistic pattern has motivated scholars to investigate potential markers for…

In a global context increasingly prone to e-learning formats at all levels of education, especially in and after the context of the COVID-19 pandemic, the acquisition of skills in distance learning programmes should not differ from the ones in onsite learning programmes. The main objective of this study is to analyse the perception that master's…

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…

This article, based on Khademi's (2021) Master's thesis, examines the use of Google Translate (GT) and its speech capabilities, Text-to-Speech Synthesis (TTS) and Automatic Speech Recognition (ASR), in helping L2 learners acquire the pronunciation of English past -ed allomorphy (/t/, /d/, /id/) in a semi-autonomous context, considering three…

While the use of machine translation (MT) in the classroom has been explored from various perspectives, the relationship between language proficiency and MT use regarding learners' behaviors and beliefs remains unclear in the research literature. This study focused on four Japanese learners with various language proficiencies from a fourth-year…

The use of machine translation is increasingly prevalent in language education and social communication. This study explored how multilingual pupils who are learning English as an additional language (EAL) use machine translation within their formal education and everyday lives. A translanguaging framework was employed to understand the ways in…

This study adopts a conversation analytic approach to present a close analysis of the sequential organisation of a parent-child homework activity in a Swedish-English bi-national family. Families formed within migration contexts are increasingly common in an ever-globalised world, but current research has not fully investigated how parent-child…

The English language plays a significant role in Saudi Arabia at the local and international levels. Spelling errors, as one of the challenging elements in writing confronted by Saudi learners of English, have a negative effect on the quality of their written translation products (Ababneh, 2019). Therefore, more analytical studies are needed to…