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Schwen Blackett, Deena; Harnish, Stacy M. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Emotional stimuli have been shown to influence language processing (both language comprehension and production) in people with aphasia (PWA); however, this finding is not universally reported. Effects of emotional stimuli on language performance in PWA could have clinical and theoretical implications, yet the sparsity of studies and…
Descriptors: Aphasia, Emotional Response, Stimuli, Language Processing
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Arslan Selçuk, Semra; Mutlu Avinç, Günes – International Journal of Technology and Design Education, 2022
Biomimicry has been proposed as an important tool to reach key skills for the new century. It has taken its place as an essential resource for critical and creative thinking in design disciplines. However, as emphasized in many studies, bio-informed research requires interdisciplinary collaboration and systematic knowledge transfer. This article…
Descriptors: Natural Language Processing, Biology, Architectural Education, Building Design
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de Beer, Carola; Hofmann, Andrea; Regenbrecht, Frank; Huttenlauch, Clara; Wartenburger, Isabell; Obrig, Hellmuth; Hanne, Sandra – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Persons with unilateral brain damage in the right hemisphere (RH) or left hemisphere (LH) show limitations in processing linguistic prosody, with yet inconclusive results on their ability to process prosodically marked structural boundaries for syntactic ambiguity resolution. We aimed at systematically investigating production and…
Descriptors: Suprasegmentals, Brain, Neurological Impairments, Language Processing
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Jianing Zhou; Ziheng Zeng; Hongyu Gong; Suma Bhat – Grantee Submission, 2022
Idiomatic expressions (IEs) play an essential role in natural language. In this paper, we study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a sentence with an IE by replacing the IE with its literal paraphrase. The lack of large scale corpora with idiomatic-literal parallel sentences is a primary challenge for this…
Descriptors: Language Patterns, Sentences, Language Processing, Phrase Structure
Michael Hermann Hahn – ProQuest LLC, 2022
As humans, we use language with ease and speed, solving the complex computational problem of processing form and meaning seemingly without effort. This dissertation studies how the properties of language enable us to achieve this, by investigating what is computationally difficult about language, and what is easy. We first investigate the…
Descriptors: Language Usage, Difficulty Level, Artificial Intelligence, Language Processing
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Hsieh, Cheng-Yu; Lin, Wei-Chun; Li, Meng-Feng; Wu, Jei-Tun – Reading and Writing: An Interdisciplinary Journal, 2021
Research on the phonetic consistency effect in Chinese began in the 1980s. For nearly forty years, the consistency effect, as well as its implications for Chinese character recognition, has been frequently examined. This article presents the debate over the consistency effect in Chinese character recognition. While some research supported the…
Descriptors: Chinese, Phonetics, Orthographic Symbols, Phonology
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Beekhuizen, Barend; Armstrong, Blair C.; Stevenson, Suzanne – Cognitive Science, 2021
Lexical ambiguity--the phenomenon of a single word having multiple, distinguishable senses--is pervasive in language. Both the degree of ambiguity of a word (roughly, its number of senses) and the relatedness of those senses have been found to have widespread effects on language acquisition and processing. Recently, distributional approaches to…
Descriptors: Ambiguity (Semantics), Lexicology, Semantics, English
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R., Akila Devi T.; Sathick, K. Javubar; Khan, A. Abdul Azeez; Raj, L. Arun – International Journal of Web-Based Learning and Teaching Technologies, 2021
Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated summary. This paper proposes a framework for non-factoid QA system, which has three main components: (1) a deep neural…
Descriptors: Natural Language Processing, Artificial Intelligence, Classification, Responses
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Canessa, Enrique; Chaigneau, Sergio E.; Moreno, Sebastián – Cognitive Science, 2021
In the property listing task (PLT), participants are asked to list properties for a concept (e.g., for the concept "dog," "barks," and "is a pet" may be produced). In conceptual property norming (CPNs) studies, participants are asked to list properties for large sets of concepts. Here, we use a mathematical model of…
Descriptors: Language Processing, Concept Formation, Semantics, Visual Impairments
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McCauley, Stewart M.; Bannard, Colin; Theakston, Anna; Davis, Michelle; Cameron-Faulkner, Thea; Ambridge, Ben – Developmental Science, 2021
Psycholinguistic research over the past decade has suggested that children's linguistic knowledge includes dedicated representations for frequently-encountered multiword sequences. Important evidence for this comes from studies of children's production: it has been repeatedly demonstrated that children's rate of speech errors is greater for word…
Descriptors: Children, Speech, Familiarity, Language Processing
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Frank, Stefan L. – Language Learning, 2021
Although computational models can simulate aspects of human sentence processing, research on this topic has remained almost exclusively limited to the single language case. The current review presents an overview of the state of the art in computational cognitive models of sentence processing, and discusses how recent sentence-processing models…
Descriptors: Multilingualism, Language Processing, Computational Linguistics, Psycholinguistics
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Babineau, Mireille; de Carvalho, Alex; Trueswell, John; Christophe, Anne – Developmental Science, 2021
Young children can exploit the syntactic context of a novel word to narrow down its probable meaning. But how do they learn which contexts are linked to which semantic features in the first place? We investigate if 3- to 4-year-old children (n = 60) can learn about a syntactic context from tracking its use with only a few familiar words. After…
Descriptors: Familiarity, Language Processing, Semantics, Syntax
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Irena Lovcevic; Denis Burnham; Marina Kalashnikova – Language Learning and Development, 2024
There is a long-standing debate in the literature about the benefits that acoustic components of Infant Directed Speech (IDS) might have for infants' language acquisition. One of the highly contested features is vowel space expansion, which refers to the enlargement of the acoustic space between the corner vowels /i, u, a/ in IDS compared to Adult…
Descriptors: Foreign Countries, Infants, Monolingualism, Speech Communication
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Diego G. Campos; Tim Fütterer; Thomas Gfrörer; Rosa Lavelle-Hill; Kou Murayama; Lars König; Martin Hecht; Steffen Zitzmann; Ronny Scherer – Educational Psychology Review, 2024
Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…
Descriptors: Artificial Intelligence, Algorithms, Computer System Design, Natural Language Processing
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John Y. H. Bai; Olaf Zawacki-Richter; Wolfgang Muskens – Turkish Online Journal of Distance Education, 2024
Artificial intelligence in education (AIEd) is a fast-growing field of research. In previous work, we described efforts to explore the possible futures of AIEd by identifying key variables and their future prospects. This paper re-examines our discussions on the governance of data and the role of students and teachers by considering the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Governance
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