This paper investigates crosslingual content scoring, a scenario where scoring models trained on learner data in one language are applied to data in a different language. We analyze data in five different languages (Chinese, English, French, German and Spanish) collected for three prompts of the established English ASAP content scoring dataset. We…

Technological advances have made the ability to translate no longer exclusively belong to humans. Today, machine translation has turned into a tool with superior performance to convert text between languages without the need for human intervention. One of the translation research foci is the studies of causative translation, especially from…

In this article, we highlight the important achievements of the editors and contributors in this special issue. We argue that this collection of studies on individual differences (IDs) advances the field in terms of theoretical diversification, methodological improvement, and pedagogical innovation. We also contend that a renewed interest in ID…

This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…

Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…

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 newly emerged micro learning service offers a flexible formal, informal, or non-formal online learning opportunity to worldwide users with different backgrounds in real-time. With the assist of big data technology and cloud computing service, online learners can access tremendous fine-grained learning resources through micro learning service.…

In an increasingly globalized world, translation technologies are critical in facilitating language comprehension and translation performance, especially among college EFL students. Despite their potential, the factors impacting their actual use in tertiary education remain underexplored. This study employs the UTAUT2 model to identify…

This paper analyses the relationship between translational technology and learning outcomes and investigates the type of translational technology most beneficial towards students' translations of legal texts. This study tests whether differences were found in the learning outcomes of legal text translation for students with high and low placement…

Ethical awareness is arguably becoming ever more relevant with the increasing digitalisation of professional practice. Ethical dilemmas are changing in nature, becoming more diverse and more difficult to tackle, also as technologically infused realities give rise to more blurry boundaries. Language professionals, in training for the roles of the…

The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…

This study investigates the integration of advanced technologies to improve the translation and dissemination of Chinese museum culture through multimodal approaches. The primary aim is to incorporate Artificial Intelligence (AI) and big data to enhance the quality and accessibility of cultural exhibits. Current challenges in the translation and…

This paper presents the findings of a research project on UK school students' attitudes to the use of Free Online Machine Translation for L2 production and more specifically in preparing for assessment. Data were collected from a publicly available online forum to analyse students' spontaneous discussion of the use of Free Online Machine…

The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…