As technology continues to evolve, the process of English translation has become easier. A technology called widget, which is used in modern research, provides an efficient graphical user interface for the interaction between the user and the application. This paper compares the newly proposed wireless widget system with existing models of English…

This study explores the opening sequences of Mandarin text messages on WeChat, focusing on the role of the phrase "zaima," meaning "are you there?" in English, in digital communication. While conversation openings have been widely studied in face-to-face and telephonic interactions, research on text message openings, especially…

This study explores uses of the quote-and-reply (Q&R) function in WeChat through conversation analysis. Analyzing 7 naturally occurring chat samples, the research identifies 3 primary interactional practices: sequence-jumping, which enables responses to non-adjacent turns across temporal gaps; response facilitation, where quotes are…

This study examined a few narrative texts accessed online from kompas.com and translated from Indonesian into French with the help of "Bing Translator," which is a multilingual machine translation cloud service of Microsoft Corporation. This study used a qualitative approach to analyze the translated texts, with the view to identify the…

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…

This study investigates the interactional functions of the "Slightly Smiling Face" (SSF) emoji in Chinese WeChat conversations through the lens of Conversation Analysis (CA). Drawing on 50 naturally occurring chat excerpts involving 12 participants across various relationship types, the study identifies three core uses of the SSF emoji:…

Utilizing translation technologies, such as computer-aided translation tools, online dictionaries, and parallel corpora, has become integral to the professional practice of translation. However, further research is necessary to investigate the effect of these technologies on translation quality and translator performance. The aim of the current…

This study aims to explore the students' experience with ChatGPT in providing scaffolding for writing essays. It also discloses students' appraisals of utilising ChatGPT. Drawing upon data from semi-structured interviews, this study involved 12 students learning English as a Foreign Language who utilised ChatGPT in academic writing classes. The…

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…

At a time when language trainers need to determine how best to integrate new digital tools that provide students with linguistic information, our aim in this article is to assess the potential value of information provided by two types of tools now widely used by students: machine translation via online translators and state-of-the-art generative…

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.…