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…

When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait ([theta]) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal [theta]. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed…

The idea that a vocabulary is a network of words is one that has become a common theme of the second language (L2) vocabulary research literature. However, not many people have considered the wider implications of this powerful metaphor. This paper is the first in a series of workshops that examines some of these implications. In this first…

We are encouraged by Cobb's (2022) description of changes to the Morpholex profiling tool (https://www.lextutor.ca/cgi-bin/morpho/lex/) resulting in more accurate word classifications. This addresses one point in our recent commentary on Morpholex and on Laufer and Cobb's (2020) study using Morpholex (McLean & Stoeckel, 2021). However, Cobb…