Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas,…

Recent studies of appositives have turned up differences between sentence-medial appositives and sentence-final appositives, for instance, in their availability for discourse continuations. Three experiments investigated whether medial appositives are more difficult to comprehend than final appositives and if so why. Experiment 1 tested…

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 analyze the derivation of weak active participles (APs) from triconsonantal imperfective verbs within the X-slot model of autosegmental phonology. The first stage of the research involves building a corpus of APs from a well-established corpus-based dictionary, namely [characters omitted] 'Dictionary of Modern Arabic Language'.…

Saudi Vision 2030 is a scheme; the Kingdom of Saudi Arabia has formulated to realize its mainstream economic, social, and administrative goals. Accordingly, the Kingdom strategizes to implement this transformative Vision. The current research aims to analyze how American media has reported several events, actions, and policies in line with Saudi…

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…

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…

How can state-of-the-art computational linguistic technology reduce the workload and increase the efficiency of language teachers? To address this question, we combine insights from research in second language acquisition and computational linguistics to automatically generate text-based questions to a given text. The questions are designed to…

A key writing skill is the capability to clearly convey desired meaning using available linguistic knowledge. Consequently, writers must select from a large array of idioms, vocabulary terms that are semantically equivalent, and discourse features that simultaneously reflect content and allow readers to grasp meaning. In many cases, a simplified…

In Thailand, where students encounter both Native EnglishSpeaking Teachers (NESTs) and Non-Native English Speaking Teachers (NNESTs)--with a significant portion of NNESTs being Thai and Filipino--a gap exists in understanding how Thai students interpret the terms Native English Speakers (NESs) and NESTs. This study aimed to explore this…

In this article, we explore the concept of a "hidden curriculum" within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education. We highlight how AI, trained on biased human data, can perpetuate societal inequities and discriminatory practices despite appearing objective. We…

As the U.S. government enforces a ban on TikTok, many users are seeking alternative platforms, creating unprecedented opportunities for Chinese social media applications, particularly platforms like Xiaohongshu (RedNote). These platforms have seen a significant increase in downloads in the U.S. market, showcasing the global potential of Chinese…

Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in…

L3 acquisition is influenced by L1-L3 typology, learners' proficiency in those languages, and metalinguistic knowledge. However, the precise patterns of cross-linguistic influence (CLI) in L3 acquisition are still unclear. This study aimed to examine how the abovementioned factors affect learners' sensitivity to subject placement in L3 Italian. We…

Language sample analysis (LSA) is valuable clinical tool and an important component of comprehensive language assessment. However, LSA is underutilized in real-world practice. SLPs have identified time constraints, insufficient training, and lack of confidence in LSA skills as barriers to regular LSA implementation. Communication science and…