This study aimed to examine the potentials of the NLP approach in detecting discourse markers (DMs), namely okay, in transcribed spoken data. One hundred thirty-eight concordance lines were presented to human referees to judge the functions of okay in them as a DM or Non-DM. After that, the researchers used a Python script written according to the…

Purpose: Spoken discourse analysis is commonly employed in the assessment and treatment of people living with aphasia, yet there is no standardization in assessment, analysis, or reporting procedures, thereby precluding comparison/meta-analyses of data and hindering replication of findings. An important first step is to identify current practices…

Verbal deception detection has gained momentum as a technique to tell truth-tellers from liars. At the same time, researchers' degrees of freedom make it hard to assess the robustness of effects. Replication research can help evaluate how reproducible an effect is. We present the first replication in verbal deception research whereby ferry…

For academic success, it is increasingly important that students of all ages can produce and comprehend expository discourse. This article provides guidance to clinicians and educators on using language sample analysis (LSA) to assess the expository language abilities of students across grades. Focusing on microstructural and macrostructural…

This study is based on the results of the research which aimed (1) to identify the cohesive devices used by Leo Tolstoy in "A grain as Big as a Hen's Egg as proposed by Halliday & Hasan and (2) to find whether substitution and ellipsis from the same story could be identified by the seven English Major students doing the Discourse Analysis…

Teaching simulations such as scriptwriting tasks offer a novel way to support pre-service teachers in gaining diagnostic competencies and in guiding students to work through difficulties. We first report on the theory-driven development of a scriptwriting task, specifically the theoretically-founded language- and accompanying content-related…

Background: Alzheimer's disease is characterized by macrolinguistic changes. This decline is often analyzed with quantitative scales. Aims: To analyze discourse production in early Alzheimer's disease (AD) and to identify qualitative markers of macrolinguistic decline. Methods & Procedures: We analyzed macrolinguistic features of a clinical…

Using a natural language processing tool, this study examined participant discourse in personalized learning schools to better understand what personalized learning looks like in practice. Term frequency-inverse document frequency (tf-idf) was used to identify the significant words and potential emergent themes for 134 interview transcripts. This…