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Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2023
This paper is part 3 of a series of workshops that examine the properties of some simple models vocabulary networks. This Workshop focusses on how the vocabulary network responds when words become easier to activate. The Workshop is linked to an on-line practice room where readers can explore these processes for themselves.
Descriptors: Vocabulary Development, Psycholinguistics, Language Processing, Workshops
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
Zakaria, Azrifah; Renandya, Willy A.; Aryadoustc, Vahid – LEARN Journal: Language Education and Acquisition Research Network, 2023
Studies on graded readers used in extensive reading have tended to focus on vocabulary. This study set out to investigate the linguistic profile of graded readers, taking into account both grammar and lexis. A corpus of 90 readers were tagged according to the variables in Biber's Multidimensional (MD) analysis, using the Multidimensional Analysis…
Descriptors: Computational Linguistics, Grammar, Reading Materials, Classification
Wang, Wei; Liu, Haiwang; Wu, Yenchun Jim; Goh, Mark – Education and Information Technologies, 2023
In Massive Open Online Courses (MOOCs), learners can post both text comments and overall ratings regarding the courses. There is growing interest in assessing the consistency of online reviews and the determinants of learner satisfaction. This study analyses the disconfirmation effect between textual review topics and the determinants of learner…
Descriptors: Student Attitudes, MOOCs, Foreign Countries, Course Evaluation
Chang Ren – ProQuest LLC, 2023
The research includes three studies at the intersection of communications disorders and computational linguistics. We begin with the case study of APTgt, a system created to improve reinforcement for Phonetics students and improve Linguistic tools for their instructions. A portion of this system utilizes machine learning techniques (i.e.,…
Descriptors: Communication Disorders, Computational Linguistics, Technology Uses in Education, Phonetics
Poschmann, Philipp; Goldenstein, Jan – Sociological Methods & Research, 2022
Despite the recent and ongoing progress in using text-mining tools to automatically analyze large text corpora, there remains significant potential to facilitate the study of social action in social science research. In this context, particularly the disambiguation (who is referred to in a text?) and specification (which demographic…
Descriptors: Web Sites, Collaborative Writing, Reliability, Accuracy
Dogan-Uçar, Asiye; Akbas, Erdem – LEARN Journal: Language Education and Acquisition Research Network, 2022
With its distinct characteristics, the research article (hereafter RA) abstract has been a major area of interest within the field of metadiscourse. Investigating authorial presence displayed in RA abstracts can play an important role in illuminating the nature of the interaction among the writer, the text, and the reader. This study aimed to shed…
Descriptors: Computational Linguistics, Research Reports, Interdisciplinary Approach, Language Usage
Szreder, Marta; de Ruiter, Laura E.; Ntelitheos, Dimitrios – Journal of Child Language, 2022
This study investigates the acquisition of the Imperfective verb inflection paradigm in Emirati Arabic (EA), to determine whether the learning process is sensitive to the phonological and typological properties of the input. We collected data from 48 participants aged 2;7 to 5;9 years, using an elicited production paradigm. Input frequencies of…
Descriptors: Verbs, Semitic Languages, Accuracy, Foreign Countries
Ryu, Jieun; Kim, Young Ae; Park, Seojin; Eum, Seungmin; Chun, Sojung; Yang, Sunyoung – L2 Journal, 2022
This study examines students' perceptions of the Guided Use of Machine Translation (GUMT) model and their perceptions of GUMT's impact on their foreign language (FL) writing. Adapted from O'Neill (2016, 2019b), GUMT model activities were developed and implemented in an upper-elementary Korean as a FL course at a large southwestern U.S. university.…
Descriptors: Student Attitudes, College Students, Korean, Second Language Instruction
Wen, Ju; Lei, Lei – Applied Linguistics, 2022
Recent studies found linguistic positivity bias in academic writing, that is, researchers tend to present their works with more positive words than negative ones. The present study aims to examine the issue from a diachronic perspective, and it is probably the first one that employed a mixed method of both a small lexicon analysis and sentiment…
Descriptors: Diachronic Linguistics, Academic Language, Writing (Composition), Computational Linguistics
Loock, Rudy; Léchauguette, Sophie; Holt, Benjamin – Australian Journal of Applied Linguistics, 2022
In this article, we discuss the need for a new digital literacy among language students, namely a literacy in relation to the use of machine translation (MT): MT literacy, following Bowker and Buitrago Ciro (2019). This article does not focus on translation students who, due to the demands of the translation market, have already received a lot of…
Descriptors: Second Language Learning, Undergraduate Students, Second Language Instruction, Technological Literacy
Das, Syaamantak; Das Mandal, Shyamal Kumar; Basu, Anupam – Journal of Education, 2022
It was observed from previous researches that Bloom's Taxonomy action verbs (BTAVs) are overlapping in multiple cognitive levels, causing ambiguity about the real sense of the word. A data set of BTAVs was ranked using a statistical classification. Four categories of BTAVs were identified, out of which 153 BTAVs (86.44%) are classified into a…
Descriptors: Verbs, Classification, Taxonomy, Ambiguity (Semantics)
Kruawong, Thana; Phoocharoensil, Supakorn – TEFLIN Journal: A publication on the teaching and learning of English, 2022
This study investigated three synonymous verbs, "teach," "educate," and "instruct," in terms of their collocational patterns and distribution across genres. Data were drawn from the Longman Dictionary of Contemporary English (2021) and the Corpus of Contemporary American English (COCA). The findings from this…
Descriptors: Phrase Structure, Computational Linguistics, English (Second Language), Second Language Learning
Rungrojsuwan, Sorabud – rEFLections, 2022
Effective communication is one of the most important factors bringing about people's confidence in the information and its source. Most charismatic leaders employ some particular rhetorical devices to gain people's trust with the ultimate goal of bringing peace and prosperity to the nation. The present study aimed at extracting some linguistic…
Descriptors: Language Usage, Leadership Styles, Speeches, Foreign Countries
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research