Throughout history, artificial intelligence (AI) has impacted various aspects of human life and professional industries, including the field of education, by mimicking human behaviors and tasks to increase productivity and efficiency (Grudin et al., 2023; Haenlein & Kaplan, 2019). Generative AI is a form of AI using deep learning to quickly…

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…

This research study aims at drawing a comparison between some internet emerging applications used for machine translation (MT) and a human translation (HT) to two of Alphonse Daudet's short stories: "The Siege of Berlin" and "The Bad Zouave." The automatic translation has been carried out by four MT online applications (i.e.…

The amount of available digital data is increasing at a tremendous rate. These data, however, are of limited use unless converted into a user-friendly form. We took on this task and built a natural language generation (NLG) driven system that generates journalistic news stories about elections without human intervention. In this paper, after…

Language on the Internet and social media varies due to time, geography, and social factors. For example, consider an online chat forum where people from different regions across the world interact. In such scenarios, it is important to track and detect regional variation in language. A person from the UK, who is in conversation with someone from…

Cybercriminals are increasingly using Internet-based text messaging applications to exploit their victims. Incidents of deceptive cybercrime in text-based communication are increasing and include fraud, scams, as well as favorable and unfavorable fake reviews. In this work, we use a text-based deception detection approach to train models for…

Our language changes very rapidly, accompanying political, social and cultural trends, as well as the evolution of science and technology. The Internet, especially the social media, has accelerated this process of change. This poses a severe challenge for both human beings and natural language processing (NLP) systems, which usually only model a…

This research details a methodology designed for creating content in support of various phishing prevention tasks including live exercises and detection algorithm research. Our system uses probabilistic context-free grammars (PCFG) and variable interpolation as part of a multi-pass method to create diverse and consistent phishing email content on…

In 2014, in conjunction with doing research in natural language processing and attending a global conference on computational linguistics, the author decided to learn a new foreign language, Greek, that uses a non-English character set. This paper/session will present/discuss an overview of the current state of natural language processing and…

Although translation students at the college of Languages and Translation in Saudi Arabia take two courses in computer applications in translation, these two courses are inadequate in preparing translation graduates for the translation job market. Results of an interview questionnaire have showed that the content of these courses is inadequate. In…

Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…

Relevance helps identify to what extent a review's content pertains to that of the submission. Relevance metric helps distinguish generic or vague reviews from the useful ones. Relevance of a review to a submission can be determined by identifying semantic and syntactic similarities between them. Our work introduces the use of a word-order graph…

Various writing assistance tools have been developed through efforts in the areas of natural language processing with different degrees of success of curriculum integration depending on their functional rigor and pedagogical designs. In this paper, we developed a system, WriteAhead, that provides six types of suggestions when non-native graduate…

Collocations are of great importance for second language learners, and a learner's knowledge of them plays a key role in producing language fluently (Nation, 2001: 323). In this article we describe and evaluate an innovative system that uses a Web-derived corpus and digital library software to produce a vast concordance and present it in a way…

Making Nation's text analysis software accessible via the World Wide Web has opened up an exploration of how his learning principles can best be realized in practice. This paper discusses 3 representative episodes in the ongoing exploration. The first concerns an examination of the assumptions behind modeling what texts look like to learners with…