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Andrew Runge; Sarah Goodwin; Yigal Attali; Mya Poe; Phoebe Mulcaire; Kai-Ling Lo; Geoffrey T. LaFlair – Language Testing, 2025
A longstanding criticism of traditional high-stakes writing assessments is their use of static prompts in which test takers compose a single text in response to a prompt. These static prompts do not allow measurement of the writing process. This paper describes the development and validation of an innovative interactive writing task. After the…
Descriptors: Material Development, Writing Evaluation, Writing Assignments, Writing Skills
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Daniela Orozova; Nadezhda Angelova – International Association for Development of the Information Society, 2025
The development of modern technologies and the integration of AI into all aspects of life pose challenges for participants in the educational process. On the one hand, using chatbots and generative AI tools provides learners with unlimited opportunities to quickly and easily access a large amount of information and receive help with various…
Descriptors: Problem Based Learning, Artificial Intelligence, Natural Language Processing, Technology Integration
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Chen, Zhong; Hale, John T. – Cognitive Science, 2021
Information-theoretic complexity metrics, such as Surprisal (Hale, 2001; Levy, 2008) and Entropy Reduction (Hale, 2003), are linking hypotheses that bridge theorized expectations about sentences and observed processing difficulty in comprehension. These expectations can be viewed as syntactic derivations constrained by a grammar. However, this…
Descriptors: Sentences, Language Processing, Phrase Structure, Nouns
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Baldwin, Peter; Yaneva, Victoria; Mee, Janet; Clauser, Brian E.; Ha, Le An – Journal of Educational Measurement, 2021
In this article, it is shown how item text can be represented by (a) 113 features quantifying the text's linguistic characteristics, (b) 16 measures of the extent to which an information-retrieval-based automatic question-answering system finds an item challenging, and (c) through dense word representations (word embeddings). Using a random…
Descriptors: Natural Language Processing, Prediction, Item Response Theory, Reaction Time
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Li, Jiangtian; Joanisse, Marc F. – Cognitive Science, 2021
Most words in natural languages are polysemous; that is, they have related but different meanings in different contexts. This one-to-many mapping of form to meaning presents a challenge to understanding how word meanings are learned, represented, and processed. Previous work has focused on solutions in which multiple static semantic…
Descriptors: Computational Linguistics, Semantics, Ambiguity (Semantics), Language Processing
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Zhao, Licui; Yasunaga, Daichi; Kojima, Haruyuki – Journal of Psycholinguistic Research, 2021
The present study reported an experiment examining whether both native speakers (NSs) and non-native speakers (NNSs) give formulaic sequences (FSs) priority over novel phrases in processing, as the dual route model has postulated. In this experiment, NSs and NNSs were asked to read Japanese versions of semi-transparent restricted collocations…
Descriptors: Native Speakers, Novelty (Stimulus Dimension), Language Processing, Japanese
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Kenanidis, Panagiotis; Chondrogianni, Vicky; Legendre, Géraldine; Culbertson, Jennifer – Journal of Child Language, 2021
Previous studies across languages (English, Spanish, French) have argued that perceptual salience and cue reliability can explain cross-linguistic differences in early comprehension of verbal agreement. Here we tested this hypothesis further by investigating early comprehension in Greek, where markers have high salience and reliability (compared…
Descriptors: Greek, Comprehension, Cues, Child Language
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Roy, Abhik; Rambo-Hernandez, Karen E. – American Journal of Evaluation, 2021
Evaluators often find themselves in situations where resources to conduct thorough evaluations are limited. In this paper, we present a familiar instance where there is an overwhelming amount of open text to be analyzed under the constraints of time and personnel. In instances when timely feedback is important, the data are plentiful, and answers…
Descriptors: Artificial Intelligence, Engineering Education, Natural Language Processing, College Students
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Woodruff Carr, Kali; Perszyk, Danielle R.; Norton, Elizabeth S.; Voss, Joel L.; Poeppel, David; Waxman, Sandra R. – Developmental Science, 2021
The power and precision with which humans link language to cognition is unique to our species. By 3-4 months of age, infants have already established this link: simply listening to human language facilitates infants' success in fundamental cognitive processes. Initially, this link to cognition is also engaged by a broader set of acoustic stimuli,…
Descriptors: Infants, Child Development, Brain, Language Processing
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King, Daniel; Gentner, Dedre – Cognitive Science, 2022
This paper explores the processes underlying verb metaphoric extension. Work on metaphor processing has largely focused on noun metaphor, despite evidence that verb metaphor is more common. Across three experiments, we collected paraphrases of simple intransitive sentences varying in semantic strain--for example, "The motor complained"…
Descriptors: Semantics, Verbs, Figurative Language, Phrase Structure
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Kochmar, Ekaterina; Vu, Dung Do; Belfer, Robert; Gupta, Varun; Serban, Iulian Vlad; Pineau, Joelle – International Journal of Artificial Intelligence in Education, 2022
Intelligent tutoring systems (ITS) have been shown to be highly effective at promoting learning as compared to other computer-based instructional approaches. However, many ITS rely heavily on expert design and hand-crafted rules. This makes them difficult to build and transfer across domains and limits their potential efficacy. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Dialogs (Language)
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Law, Jeremy M.; Ghesquière, Pol – Reading Research Quarterly, 2022
This study examined the processing of derivational morphology and its association with early phonological skills of 24 Dutch-speaking children with dyslexia and 46 controls matched for age. A masked priming experiment was conducted where the semantic overlap between morphologically related pairs was manipulated as part of a lexical decision task.…
Descriptors: Morphology (Languages), Phonological Awareness, Dyslexia, Priming
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Gao, Fan; Dechsubha, Thawascha – Education Quarterly Reviews, 2022
This paper offers a comprehensive survey of translation ethics within the theoretical frame of Lady Welby's meaning triad concerning the relationship between ethics and translation in the meaning process of sign activities. The paper mainly discusses such aspects as: (1) the relationship between meaning triad and translation ethics, (2) upward…
Descriptors: Ethics, Translation, Correlation, Cognitive Ability
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Janssen, Nikki; Roelofs, Ardi; van den Berg, Esther; Eikelboom, Willem S.; Holleman, Meike A.; in de Braek, Dymphie M. J. M.; Piguet, Olivier; Piai, Vitória; Kesselsa, Roy P. C. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The three variants of primary progressive aphasia (PPA) differ in clinical presentation, underlying brain pathology, and clinical course, which stresses the need for early differentiation. However, brief cognitive tests that validly distinguish between all PPA variants are lacking. The Sydney Language Battery (SYDBAT) is a promising…
Descriptors: Screening Tests, Aphasia, Cognitive Tests, Test Validity
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Braun, Emily J.; Kiran, Swathi – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The impact of stimulus-level psycholinguistic variables and personlevel semantic and phonological processing skills on treatment outcomes in individuals with aphasia requires further examination to inform clinical decision making in treatment prescription and stimuli selection. This study investigated the influence of stimulus-level…
Descriptors: Chronic Illness, Aphasia, Psycholinguistics, Language Processing
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