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Perlman-Arrow, Sara; Loo, Noel; Bobrovitz, Niklas; Yan, Tingting; Arora, Rahul K. – Research Synthesis Methods, 2023
The laborious and time-consuming nature of systematic review production hinders the dissemination of up-to-date evidence synthesis. Well-performing natural language processing (NLP) tools for systematic reviews have been developed, showing promise to improve efficiency. However, the feasibility and value of these technologies have not been…
Descriptors: Natural Language Processing, Screening Tests, COVID-19, Pandemics
Harmon, Zara; Barak, Libby; Shafto, Patrick; Edwards, Jan; Feldman, Naomi H. – Developmental Science, 2023
Children with developmental language disorder (DLD) regularly use the bare form of verbs (e.g., dance) instead of inflected forms (e.g., danced). We propose an account of this behavior in which processing difficulties of children with DLD disproportionally affect processing novel inflected verbs in their input. Limited experience with inflection…
Descriptors: Developmental Disabilities, Language Impairments, Children, Language Processing
Lancaster, Thomas – International Journal for Educational Integrity, 2023
Text generation tools, often presented as a form of generative artificial intelligence, have the potential to pose a threat to the integrity of the educational system. They can be misused to afford students marks and qualifications that they do not deserve. The emergence of recent tools, such as ChatGPT, appear to have left the educational…
Descriptors: Artificial Intelligence, Natural Language Processing, Integrity, Educational Technology
John Duff – ProQuest LLC, 2023
Language comprehension requires a complex series of decisions under uncertainty. This is especially obvious when one string may have multiple different interpretations, whether due to lexical ambiguity, or the potential for an inference beyond literal content. This dissertation profiles how the human system for language comprehension times those…
Descriptors: Language Processing, Ambiguity (Semantics), Decision Making, Reading Comprehension
Alberto Testoni; Raffaella Bernardi; Azzurra Ruggeri – Cognitive Science, 2023
In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on…
Descriptors: Questioning Techniques, Cognitive Science, Natural Language Processing, Data Use
Cynthia S. Q. Siew; Nichol Castro – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Network analyses of the phonological mental lexicon show that words are clustered into communities and phonologically dissimilar words can be connected to each other through distant paths. Here we investigate whether behavioral traces of the large-scale structure of the phonological lexicon can be obtained. Participants listened to pairs of spoken…
Descriptors: Phonology, Word Recognition, Network Analysis, Language Processing
Marrone, Rebecca; Cropley, David H.; Wang, Z. – Creativity Research Journal, 2023
Creativity is now accepted as a core 21st-century competency and is increasingly an explicit part of school curricula around the world. Therefore, the ability to assess creativity for both formative and summative purposes is vital. However, the "fitness-for-purpose" of creativity tests has recently come under scrutiny. Current creativity…
Descriptors: Automation, Evaluation Methods, Creative Thinking, Mathematics Education
Tim Humphry; Amy L. Fuller – Journal of Chemical Education, 2023
ChatGPT is a brand new, free AI chatbot that has the potential to produce a seismic shift in chemistry education, especially in written lab reports. An example is explored in which ChatGPT is used to write the discussion portion of a lab report. Ways to detect the use of ChatGPT are also discussed.
Descriptors: Artificial Intelligence, Natural Language Processing, Undergraduate Students, Chemistry
Christopher Nicklin; Allie Patterson; Stuart McLean – Studies in Second Language Acquisition, 2023
Proper nouns constitute a lexical class with special properties and are thus treated differently from other words by second language acquisition researchers. An assumption exists that even low-proficiency learners will find them unproblematic, yet research suggests this assumption might be misplaced. The present study involved two self-paced…
Descriptors: Nouns, Second Language Learning, English (Second Language), Reading Fluency
Duygu F. Safak; Holger Hopp – Studies in Second Language Acquisition, 2023
This study investigates whether cross-linguistic differences affect how adult second language (L2) learners use different types of verb subcategorization information for prediction in real-time sentence comprehension. Using visual world eye-tracking, we tested if first language (L1) German and L1 Turkish intermediate-to-advanced learners of L2…
Descriptors: Linguistics, Adults, Second Language Learning, Verbs
Muylle, Merel; Bernolet, Sarah; Hartsuiker, Robert J. – Language Learning, 2020
Several studies found cross-linguistic structural priming with various language combinations. Here, we investigated the role of two important domains of language variation: case marking and word order, for transitive and ditransitive structures. We varied these features in an artificial language learning paradigm, using three different artificial…
Descriptors: Bilingualism, Priming, Language Processing, Language Variation
Peel, Hayden J.; Royals, Kayla A.; Chouinard, Philippe A. – Journal of Psycholinguistic Research, 2022
It is widely assumed that subliminal word priming is case insensitive and that a short SOA (< 100 ms) is required to observe any effects. Here we attempted to replicate results from an influential study with the inclusion of a longer SOA to re-examine these assumptions. Participants performed a semantic categorisation task on visible word…
Descriptors: Priming, Psycholinguistics, Reaction Time, Semantics
Kocab, Annemarie; Davidson, Kathryn; Snedeker, Jesse – Cognitive Science, 2022
Classical quantifiers (like "all," "some," and "none") express relationships between two sets, allowing us to make generalizations (like "no elephants fly"). Devices like these appear to be universal in human languages. Is the ubiquity of quantification due to a universal property of the human mind or is it…
Descriptors: Natural Language Processing, Form Classes (Languages), Cognitive Processes, Spanish
He, Angela Xiaoxue – Infant and Child Development, 2022
In acquiring a native language, the input children receive, to an unneglectable extent, shapes the rate of acquisition and the ultimate achievement. This in turn has cascading effects on many aspects of later development, including but not limited to language. Providing optimal input for early language development, therefore, is of major interest…
Descriptors: Linguistic Input, Native Language, Language Acquisition, Memory
Kalandadze, Tamara; Braeken, Johan; Brynskov, Cecilia; Naess, Kari-Anne Bottegaard – Journal of Autism and Developmental Disorders, 2022
Poor metaphor comprehension was considered a hallmark of autism spectrum disorder (ASD), but recent research has questioned the extent and the sources of these difficulties. In this cross-sectional study, we compared metaphor comprehension in individuals with ASD (N = 29) and individuals with typical development (TD; N = 31), and investigated the…
Descriptors: Figurative Language, Language Processing, Comprehension, Language Skills