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Alexandra C. Salem; Robert C. Gale; Mikala Fleegle; Gerasimos Fergadiotis; Steven Bedrick – Journal of Speech, Language, and Hearing Research, 2023
Purpose: To date, there are no automated tools for the identification and fine-grained classification of paraphasias within discourse, the production of which is the hallmark characteristic of most people with aphasia (PWA). In this work, we fine-tune a large language model (LLM) to automatically predict paraphasia targets in Cinderella story…
Descriptors: Aphasia, Prediction, Story Telling, Oral Language
Reem S. W. Alyahya – International Journal of Language & Communication Disorders, 2025
Background: Assessing spoken discourse during aphasia clinical examination is crucial for diagnostic and rehabilitation purposes. Recent approaches have been developed to quantify content word fluency (CWF) and informativeness of spoken discourse without the need to perform time-consuming transcription and coding. However, the accuracy of these…
Descriptors: Arabic, Aphasia, Language Fluency, Check Lists
Arbain – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
This study aims to investigate the types and functions of expressions of fear realized in the form of sentences. With a special context in horror movies, the researcher attempted to reveal the types and functions of fear expressions such as directive, commissive, expressive, assertive, and declarative. This research focuses on the subtitles of the…
Descriptors: Films, Speech Acts, Accuracy, Fear
Kim, Hana; Schoemann, Alexander M.; Wright, Heather Harris – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Core lexicon measures have received growing attention in research. They are intended to provide clinicians with a clinician-friendly means to quantify word retrieval ability in discourse based on normal expectations of discourse production for specific discourse elicitation tasks. To date, different criteria have been used to develop core…
Descriptors: Discourse Analysis, Language Processing, Measurement, Accuracy
Premo, Joshua; Cavagnetto, Andy; Collins, Larry; Davis, William B.; Offerdahl, Erika – Journal of Experimental Education, 2023
Increasing student engagement with the social practices of science (i.e., communication, collaboration, and critique) is a goal throughout K-16 science education and provides an opportunity for science educators to leverage student discourse to optimize learning. Yet how instructors can encourage forms of discourse which predict increased…
Descriptors: Undergraduate Students, College Science, Science Education, Cooperative Learning
Ghosh, Krishnendu – Education and Information Technologies, 2022
The paper presents a method for recommending augmentations against conceptual gaps in textbooks. Question Answer (QA) pairs from community question-answering (cQA) forums are noted to offer precise and comprehensive illustrations of concepts. Our proposed method retrieves QA pairs for a target concept to suggest two types of augmentations: basic…
Descriptors: Foreign Countries, Textbooks, Textbook Content, Discourse Analysis
Sanosi, Abdulaziz; Abdalla, Mohamed – Australian Journal of Applied Linguistics, 2021
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…
Descriptors: Natural Language Processing, Computational Linguistics, Programming Languages, Accuracy
Ryan, Ulrika; Chronaki, Anna – Educational Studies in Mathematics, 2020
This paper discusses the place of precision in mathematics education by exploring its role in curricular guidelines and in classroom life. By means of a joke on precision delivered by a school student in South Sweden, our study focuses on student participation in mathematical tasks that require precision in processes of measuring and reasoning.…
Descriptors: Accuracy, Mathematics Education, Foreign Countries, Student Participation
Cunningham, Kevin T.; Haley, Katarina L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose of this study was to compare the utility of two automated indices of lexical diversity, the Moving-Average Type-Token Ratio (MATTR) and the Word Information Measure (WIM), in predicting aphasia diagnosis and responding to differences in severity and aphasia subtype. Method: Transcripts of a single discourse task were analyzed…
Descriptors: Discourse Analysis, Aphasia, Comparative Analysis, Accuracy
Aina, Sun; Fang, Ng Chwee; Subramanlam, Vijayaletchumy A/P; Abdul Ghani, Che Ann Binti – Arab World English Journal, 2022
The translation of political discourse differs from the translation of texts in non-political contexts in which political discourse is highly profiled in terms of political sensitivity and policy orientation. It may potentially influence global peace and security. Understanding the features of translating China's political discourse from Chinese…
Descriptors: Translation, Chinese, English (Second Language), Second Language Learning
Park, Shinjae – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2022
Despite writing and speaking being related activities, their end-products are entirely different. However, previous studies have not shown consistency in terms of grammar use in these two modes. Accordingly, in the present study, I aim to define the syntactic characteristics in these two modes with large-scale data and organized research designs.…
Descriptors: Computational Linguistics, Grammar, Undergraduate Students, English (Second Language)
Buchholz, Joerg M.; Davis, Chris; Beadle, Julie; Kim, Jeesun – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study aimed to develop and test a measure of real-time continuous speech understanding to be used with natural dialogues. Method: The measure was based on a category monitoring paradigm and employed five existing recordings of natural dialogues from which the different test categories and associated target words were derived. For…
Descriptors: Speech Communication, Interpersonal Communication, Intelligibility, Comprehension
Jackowicz, Steve – International Society for Technology, Education, and Science, 2021
There is a long-standing interrelationship between the military and medical spheres in society. Military actions rely on medical services to tend to casualties, and medical advances often come from the pressure of military campaigns that generate large numbers of patients. That interrelationship is a linear one of simple paired interaction.…
Descriptors: Armed Forces, Medicine, Medical Services, Military Personnel
Dalton, Sarah Grace; Stark, Brielle C.; Fromm, Davida; Apple, Kristen; MacWhinney, Brian; Rensch, Amanda; Rowedder, Madyson – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts. Method: Forty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five…
Descriptors: Validity, Discourse Analysis, Databases, Scoring
Cristia, Alejandrina; Bulgarelli, Federica; Bergelson, Elika – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The Language Environment Analysis (LENA) system provides automated measures facilitating clinical and nonclinical research and interventions on language development, but there are only a few, scattered independent reports of these measures' validity. The objectives of the current systematic review were to (a) discover studies comparing…
Descriptors: Intervention, Measures (Individuals), Language Acquisition, Accuracy