Results 51 to 60 of about 383 (145)
A text pattern‐matching tool based on Parsing Expression Grammars [PDF]
Software: Practice and Experience, 2008 AbstractCurrent text pattern‐matching tools are based on regular expressions. However, pure regular expressions have proven too weak a formalism for the task: many interesting patterns either are difficult to describe or cannot be described by regular expressions.
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Topics in Cognitive Science, EarlyView.Abstract Past research suggests that Working Memory plays a role in determining relative clause attachment bias. Disambiguation preferences may further depend on Processing Speed and explicit memory demands in linguistic tasks. Given that Working Memory and Processing Speed decline with age, older adults offer a way of investigating the factors ...
Willem S. van Boxtel, Laurel A. Lawyer
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Applications of large‐scale artificial intelligence models in bioinformatics
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li +5 more
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International Transactions in Operational Research, Volume 33, Issue 2, Page 719-774, March 2026.Abstract The transformative potential of artificial intelligence (AI) ChatBots, leveraging natural language processing for information retrieval and knowledge synthesis, has garnered attention across diverse fields, including research. Recognizing AI's importance, researchers and policymakers are actively engaged in its development.
Cinzia Daraio +2 more
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Linking Attention Deficits to Difficulties in the Comprehension of Complex Syntax in Dyslexia
Dyslexia, Volume 32, Issue 1, February 2026.ABSTRACT Recent research suggests that dyslexia involves not only reading difficulties but also deficits in working memory, attention, language, and information processing. This study examined the role of auditory attention in the comprehension of syntactically complex sentences in children with dyslexia.
Mostafa Mazlumi, Mehdi Purmohammad
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Mind, Brain, and Education, Volume 20, Issue 1, February 2026.ABSTRACT The sensory‐neural temporal sampling (TS) theory of language acquisition emphasizes the role of individual differences in speech rhythm processing. According to this theory, neural oscillations track loudness or amplitude modulation (AM) patterns—rhythmic fluctuations in speech intensity or energy—across multiple timescales.
Arantza Campollo‐Urkiza +4 more
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State of the Field: The History of Masculinities
History, Volume 111, Issue 394, Page 5-29, January 2026.Abstract This State of the Field article discusses how, when and why the history of masculinities has emerged since the 1980s, and why it continues to be an important research field today. The article begins with the field's multiple origin stories and then discusses its expansion in chronology, geography and theme, as well as newer directions for ...
ERICA L. FRASER
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Cognitive Science, Volume 50, Issue 1, January 2026.Abstract Language comprehension unfolds incrementally, requiring listeners to continually predict and revise interpretations. Comprehenders across very diverse languages show a consistent preference for agents, anticipating the agent (“the doer” of an action) more strongly than the patient (“the undergoer”). An unresolved question is how the preference
Eva Huber +3 more
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The Shallow Structure Hypothesis and Sentence Processing in a Second Language
Language and Linguistics Compass, Volume 20, Issue 1, January/February 2026.ABSTRACT The Shallow Structure Hypothesis (SSH) has been highly influential in the study of adult second language (L2) acquisition. With respect to L2 sentence processing, the essential claim is that L2 speakers rely less on syntactic information and more on alternative sources of information (e.g., lexical semantics and discourse) than adult first ...
Kyle Swanson, A. Kate Miller
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Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Background Accurate sales forecasting is a key factor in effective business management, especially under conditions of increasing competition and the rapid development of e‐commerce. Sales time series are often characterized by trends, seasonality, and random fluctuations, which complicates the selection of an appropriate forecasting method. Therefore,
Nataliya Boyko +2 more
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