Reading is one of the main skills to be learned and used in schools and through the entire life of an individual. Its crucial importance made reading one of the central topics in different academic disciplines such as education, psychology, linguistic and neuroscience. Advances in multidisciplinary approaches to and studies of reading gave us the…

This paper provides a possible strategy for integrating large language artificial intelligence models (LLMs) in supporting students' education in artistic or design activities. We outline the methodological foundations concerning the integration of CHATGPT LLM in the educational approach aimed at enhancing artistic conception and design ideation.…

This study uses a diachronic corpus-based analysis to explore the topics presented in LGBTQ-related research articles published between 2001 and 2020, and to examine diachronic changes in these topics over time. The data are from 400 LGBTQ-related research articles which are divided into four time periods (2001-2005, 2006-2010, 2011-2015,…

Language sample analysis (LSA) represents a venerated and ecologically valid method for diagnosing, identifying goals, and measuring progress in children with developmental language disorder (DLD). With many LSA measures available, previous research offers limited guidance on which measures should be prioritized based on their robust reliability,…

Purpose: Analysis of spontaneous speech samples is important for determining patterns of language production in people with aphasia. To accomplish this, researchers and clinicians can use either hand coding or computer-automated methods. In a comparison of the two methods using the hand-coding NNLA (Northwestern Narrative Language Analysis) and…

Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

ChatGPT, an artificial intelligence (AI) language model, holds significant promise for improving the quality and efficiency of teaching and learning. However, its potential challenges and disruptions in education systems require further investigation for a deeper understanding and mitigation. Given that ChatGPT is already being utilized and…

Artificial intelligence has evolved since its inception in the 1950s, resulting in the creation of large language models that are trained on extensive data sets to understand and generate content, such as OpenAI's ChatGPT, which launched in November 2022. Modern technology that is easy to access and free to use, like ChatGPT, is changing the…

This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…

The purpose of this research was to investigate the representation of black students in contemporary American English. Two questions were addressed, what is the semantic prosody of Black students, and what are the semantic roles for Black students. All the concordance lines containing the phrase Black students were downloaded from the Corpus of…

General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory--the component of short-term memory used for temporary…

In this paper the role of language competence and thematic competence in translation and post-editing was studied. The sample included 49 translation students who translated part of a copyright agreement from English into Hungarian under two different conditions, from-scratch human translation and post-editing. Our findings indicated that there…

The article introduces triangulation to converge evidence from corpus and experimental data, by means of two case studies in second language (L2) learners of Greek. The first case study investigates the acquisition of gender agreement, while the second probes the development of relative clauses. In both studies, findings from the corpus are tested…

Many studies have shown that morphological knowledge has effects on reading comprehension separate from other aspects of language knowledge. This has implications for reading instruction and assessment: it suggests that children could have reading comprehension difficulties that are due to a lack of morphological knowledge, and thus, that explicit…

This paper considers the issue of the norm in the context of learner corpus research and its implications for foreign language teaching. It seeks to answer three main questions: Does learner corpus research require a native norm? What corpus-derived norms are available and how do we choose? What do we do with these norms in the classroom? The…