The Presence of Background Noise Extends the Competitor Space in Native and Non-Native Spoken-Word Recognition: Insights from Computational Modeling. [PDF]
Cogn Sci, 2022 Karaminis T, Hintz F, Scharenborg O.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
SAGE OpenThis study explores the relationship between the Hanzi recognition performance and the home literacy environments of 351 children aged 3 to 6 based on Montessori’s philosophy of education.
Mei-Ling Wang +2 more
doaj +1 more source
Delayed Lexical Access and Cascading Effects on Spreading Semantic Activation During Spoken Word Recognition in Children With Hearing Aids and Cochlear Implants: Evidence From Eye-Tracking. [PDF]
Ear Hear, 2023 Klein KE, Walker EA, McMurray B.
europepmc +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
The Slow Development of Real-Time Processing: Spoken-Word Recognition as a Crucible for New Thinking About Language Acquisition and Language Disorders. [PDF]
Curr Dir Psychol Sci, 2022 McMurray B, Apfelbaum KS, Tomblin JB.
europepmc +1 more source
Spoken word recognition by English-speaking learners of Spanish
, 2019 This work has been partially funded by the Erasmus+ Programme of the European Union and by the Australian Research Council Centre of Excellence for the Dynamics of Language.ABSTRACT: Spoken word recognition is a hard task.
Tuninetti, Alba +2 more
core
Word alignment and smoothing methods in statistical machine translation: Noise, prior knowledge and overfitting [PDF]
, 2012 This thesis discusses how to incorporate linguistic knowledge into an SMT system. Although one important category of linguistic knowledge is that obtained by a constituent / dependency parser, a POS / super tagger, and a morphological analyser ...
Okita, Tsuyoshi
core
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source