In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently…

This study explores the potential of large language models (LLMs), specifically GPT-4 and Gemini, in generating teaching cases for information systems courses. A unique prompt for writing three different types of teaching cases such as a descriptive case, a normative case, and a project-based case on the same IS topic (i.e., the introduction of…

With recent improvements in machine translation (MT) accuracy, MT has gained unprecedented popularity in second language (L2) learning. Despite the significant number of studies on MT use, the effects of using MT on students' retention of learning or secondary school students' use of MT in L2 writing has rarely been researched. The current study…

Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…

Idioms have been traditionally described as fixed expressions, highly restricted in their realization. Corpus and experimental studies, however, have shown that they are more variable than previously thought. The issue of idiom syntax has received a renewed interest, since it also addresses the problem of how idioms are mentally stored. Another…

St. Lawrence Island Yupik is an endangered language of the Bering Strait region. In this paper, we describe our work on Yupik jointly leveraging computational morphology and linguistic fieldwork, outlining the multilayer virtuous cycle that we continue to refine in our work to document and build tools for the language. After developing a…

The articles reflect how reduplication matters in the process of transferring meaning from the source language into the closest equivalent meaning in the target language. Indonesian reduplications are varied in their types and meaning that cover reduplications of verbs, nouns and adjectives and each has its own function such to indicate plurality…

From the point of word formation, the phenomenon of lexical blending is a common productive process, entailing the notion of combination of lexemes in so many languages. In the vast majority of literature on blends, they preserve a linear formation of segments with a shortening of both lexemes. However, in sign languages where morphological…

The current study comparatively investigated the employment of metadiscourse items in 40 post-method sections/chapters of research articles (RAs) and master's dissertations (MAs) in the field of applied linguistics. Utilizing Hyland's (2005a) model of metadiscourse in analysing metadiscourse elements detected in both sets of texts, the findings…

The confusion between an EdD or PhD, the two terminal degrees in education, remains as current as it was at the beginning of the degrees' existence. The common belief is that the EdD is practitioner-oriented and the PhD research-oriented. The aim of present research is to clarify the confusion by conducting a corpus analysis of the aboutness of…

The study and characterization of the literary uses of non-standard American English writing systems was once a topic of research central to the study of American literature. "Speech as Writing: Literary Dialect Orthography in the United States 1790-1930" argues that the emergence of new computational tools and theoretical insights…

The advent of Generative AI technologies, such as ChatGPT, in November 2022, necessitated immediate and critical attention from the educational research community. The impact of GenAI in education, though not yet clear, has the potential to be transformative. More specifically, the focus of this paper is on how to integrate GenAI into elementary…

Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…

Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…

Food is useful in the transference of semantic aspects that are vital in the construction of masculinity in society. Consequently, foodsemic metaphors that aid in the conceptualization of "omosacha" (a man) are pervasive in Ekegusii. Metaphor use may, however, present difficulties in comprehension due to the various interpretations that…