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Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
Filik, Ruth; Ingram, Joanne; Moxey, Linda; Leuthold, Hartmut – Journal of Psycholinguistic Research, 2021
According to the Presupposition-Denial Account, complement set reference arises when focus is on the "shortfall" between the amount conveyed by a natural language quantifier and a larger, expected amount. Negative quantifiers imply a shortfall, through the denial of a presupposition, whereas positive quantifiers do not. An exception may…
Descriptors: Figurative Language, Linguistic Theory, Natural Language Processing, Form Classes (Languages)
Mahowald, Kyle; Kachergis, George; Frank, Michael C. – First Language, 2020
Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…
Descriptors: Models, Language Processing, Computational Linguistics, Language Acquisition
Anuj Gupta; Yasser Atef; Anna Mills; Maha Bali – Open Praxis, 2024
This study explores how discussing metaphors for AI can help build awareness of the frames that shape our understanding of AI systems, particularly large language models (LLMs) like ChatGPT. Given the pressing need to teach "critical AI literacy", discussion of metaphor provides an opportunity for inquiry and dialogue with space for…
Descriptors: Artificial Intelligence, Figurative Language, Natural Language Processing, Multiple Literacies
Skalicky, Stephen; Crossley, Scott A.; McNamara, Danielle S.; Muldner, Kasia – Creativity Research Journal, 2017
Creativity is commonly assessed using divergent thinking tasks, which measure the fluency, flexibility, originality, and elaboration of participant output on a variety of different tasks. This study assesses the degree to which creativity can be identified based on linguistic features of participants' language while completing collaborative…
Descriptors: Creativity, Creative Thinking, Problem Solving, Linguistics
Boguslavsky, Igor; Cardenosa, Jesus; Gallardo, Carolina – Applied Linguistics, 2009
Multilingual lexicons are needed in various applications, such as cross-lingual information retrieval, machine translation, and some others. Often, these applications suffer from the ambiguity of dictionary items, especially when an intermediate natural language is involved in the process of the dictionary construction, since this language adds…
Descriptors: Translation, Figurative Language, Multilingualism, Dictionaries
Grodner, D.; Gibson, E.; Watson, D. – Cognition, 2005
The present study compares the processing of unambiguous restrictive and non-restrictive relative clauses (RCs) within both a null context and a supportive discourse using a self-paced reading methodology. Individuals read restrictive RCs more slowly than non-restrictive RCs in a null context, but processed restrictive RCs faster than…
Descriptors: Syntax, Interaction, Figurative Language, University Presses
Cameron, Lynne; Deignan, Alice – Applied Linguistics, 2006
We show how emergence offers new explanations for the behaviour of metaphorically-used expressions. Analysis of metaphors in two types of natural language data are combined: detailed analysis of continuous discourse, which offers wealth of context and the possibility of monitoring emergent forms as the discourse unfolds, and computer-assisted…
Descriptors: Figurative Language, Semantics, Pragmatics, Language Patterns