Large language models such as ChatGPT can be seen as a major threat to reliable assessment in higher education. In this point of departure, I argue that these tools are a major game changer for society at large. Many of the jobs we now consider highly skilled are based on pattern recognition that can much more reliably be carried by fine-tuned…

This dissertation is an inquiry into the history of Chinese computer-based word processing technologies from 1958 to 1997. My purpose in looking into the history is to answer, how the development and usage of word-processing technologies have contributed to knowledge production, by shaping the understanding of what information technologies can do.…

This academic article has objectives were 1) to study the techniques in data analyzing of speech recognition systems techniques to detect reading aloud skills in Thai tonal conjugation for Primary Education Students, and 2) to study the effect of speech recognition systems techniques to detect reading aloud skills in Thai tonal conjugation for…

Results of the Boston University Mellon Sawyer seminar 20162-019 (www.mellophilemerge.com) reveal that social and philosophical drives are increasingly central to our uses of technology, including AI. This raises critical challenges for democracy, especially in a hyper-connected world where social media shapes human conduct in ways we are only…

The article sets out to develop the concept of attention as a key aspect to building the possible therapeutics that Bernard Stiegler's recent works have pointed to (The Automatic Society, 2016, The "Neganthropocene", 2018 and "Qu'appelle-t-on" Panser, 2018). The therapeutic aspect of pharmacology takes place through processes…

Bag-of-words is a commonly used text representation method for many text classification applications. However, bag-of-words representation fails to consider the context of the text because it only examines text documents based on the presence of individual words and explores relationships between texts with similar word choices (Bengfort, 2018).…

This study aims to investigate the manifestations of instrumental translation competence (ITC) in translator training programs in six Saudi universities. It explores students' knowledge and skills in ITC in terms of training and translation courses, translation tools, and usage patterns, drawing on the PACTE group of translation competence. In…

Genre studies on the job cover letter (letter of application) have focused mainly on linguistic analyses of the genre in terms of the generic structure and linguistic strategies commonly used by applicants. These studies have taken the view that the cover letter was an open-ended opportunity for favourable self-promotion. However, to date no study…

The ever-increasing demand for immediate access to information means interpreters and translators are increasingly using, and relying on, digital technology in their work. In the migratory context, machine translation (MT) and post-editing (PE) have the potential to greatly increase the efficiency of public service interpreting and translation…

Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have a duty to find out the level of language skills and forms of language errors in students. Machine Learning as part of technology can be maximized to detect forms of Arabic…

Purpose: The purpose of this paper is to describe the role and characteristics of the summer internship program (Digital Summer Clinic) delivered by Eastern Michigan University. The authors report the results of an exploratory study of interns participating in the Digital Summer Clinic over a five-year time period. The study captures and analyzes…

The article is devoted to the trends and transformations of philological education in the context of modern technologies development. The purpose of the research is to study the preparation specifics of philology students and to develop a new approach to their training, based on an effective educational methodology of literary and linguistic…

The media environment has radically changed over the past few decades. Transition and transformation of media platforms has enabled algorithms and automation to take over media processes such as production, content generation, curation, delivery, recommendation, and filtering of information. It has also enabled tracking of users' actions, data…

Recent calls from applied linguistics and from CALL have emphasized the importance of situating the understanding and use of digital tools for language learning within layered contexts. An important component of these layered contexts is societal discourses of technology, which are multiple and far from neutral. In response to these calls, this…

We proposed speech-enabled language translation (SELT) technology that consists of speech-to-text recognition (STR) and computer-aided-translation (CAT) systems to support intercultural communication. When the participants spoke in their native languages, the STR system generated texts from their voice input, and the CAT system translated the…