Results 181 to 190 of about 261,561 (300)
Temporal and topographical changes in theta power between middle childhood and adolescence during sentence comprehension. [PDF]
Maguire MJ +7 more
europepmc +1 more source
ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source
Delving Into the Working Mechanism of Prediction in Sentence Comprehension: An ERP Study. [PDF]
Huang Y, Jiang M, Guo Q, Wang Y.
europepmc +1 more source
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang +3 more
wiley +1 more source
Sentence Comprehension and L2 Exposure Effects in 6-Year-Old Sequentially Bilingual Children With Typical Development and Developmental Language Disorder. [PDF]
Smolander S +5 more
europepmc +1 more source
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley +1 more source
Multisensory Input Modulates P200 and L2 Sentence Comprehension: A One-Week Consolidation Phase. [PDF]
Boustani N, Pishghadam R, Shayesteh S.
europepmc +1 more source
Prediction gone wrong: A mouse-tracking study in sentence comprehension [PDF]
Chang, F., Konopka, A.
core
Why We Need to Study Assisted Methods to Teach Typing to Nonspeaking Autistic People
ABSTRACT At least one third of autistic people have limited or no speech. Most nonspeaking autistic people are never provided alternatives that would enable the full range of expression that speech allows, significantly limiting their access to educational, social, and employment opportunities.
Vikram K. Jaswal +4 more
wiley +1 more source

