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…

In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…

This study compared syntactic complexity between undergraduate students' research papers and published research papers. A 2 (Groups: experts, students) × 4 (Sections: introduction, methods, results, discussions) mixed factorial analysis of variance (ANOVA) was conducted on each of the following variables: T-unit length, clause density, the…

This paper takes a system dynamic approach to study homogeneous texts where the dynamics of the lexical richness of such texts over time are of the focal concern. It is hypothesized that the progress of the lexical complexity is driven by how far away this process is from the maximum level of complexity, while is subject to the fluctuations due to…

This study seeks to contribute to addressing a gap in theory-driven corpus-based research focused on the so-called translation specific features (TSF) in Arabic translated texts. It provides a contrastive Systemic Functional Linguistics (SFL)-informed analysis of concessive/contrastive connective markers in a selected comparable corpus made up of…

Translators employ an array of tools to streamline the translation process, ensuring precision and coherence. The necessity of these tools is particularly pronounced when tackling authentic materials, such as texts from the United Nations (UN). Among these tools, corpora stand out as a pivotal resource. In light of this, this study undertook a…

Material development is important for training beginner student interpreters, as it guides the direction of interpreting learning. One key principle is difficulty progression, which requires a good knowledge of the indicators of difficulty. Since text structure outweighs words and sentences in the information processing of consecutive…

Text classification typically performs best with large training sets, but short texts are very common on the World Wide Web. Can we use resampling and data augmentation to construct larger texts using similar terms? Several current methods exist for working with short text that rely on using external data and contexts, or workarounds. Our focus is…

Since the publication of the book Genre Analysis (CUP) by Swales (1990), many studies have focused on the study of the rhetorical organisation of different sections of research articles (RAs). The organisation of RA introductions has received most of the attention. However, the focus has generally been on the structure of introductions without…

Reading rate, usually measured in words per minute, is a common operationalization of reading fluency in second language (L2) research and pedagogy. However, the impact of word length is often not addressed. This paper presents two studies showing how the number of characters in a text influences L2 reading time, independent of word counts, within…

Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…

Genre analysis is today's dominant approach for textual analysis, especially in the ESP learning and teaching profession. Adopting this approach, the present study compares the Introduction chapters of MA theses in ELT (English Language Teaching) written by Thai students to those written by American university students based on the move-step…

This dissertation presents a new tool for exploratory text analysis that attempts to improve the experience of navigating and exploring text and its metadata. The design of the tool was motivated by the unmet need for text analysis tools in the humanities and social sciences. In these fields, it is common for scholars to have hundreds or thousands…

"Generation 1.5" is a term being used to describe a type of second language (L2) long-term U.S. resident who may demonstrate persistent language-related challenges (Roberge, Siegel, & Harklau, 2009). Among the difficulties commonly noted with Generation 1.5 students are problems in controlling the academic register expected in…