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First published 1990-08

SLONN: A Simulation Language for modeling of Neural Networks

DeLiang Wang, Chochun Hsu

SIMULATION

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Research article

First published 2020-1-31

Neural language models for the multilingual,transcultural,and multimodal Semantic Web

Dagmar Gromann

Semantic Web: – Interoperability,Usability,Applicability

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Other

First published 2003-09

Neural Mechanisms of Language-Based Learning Impairments: Insights from Human Populations and Animal Models

R. Holly Fitch, Paula Tallal

Behavioral and Cognitive Neuroscience Reviews

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Research article

First published 2022-02-02

A comparative study of neural machine translation models for Turkish language

Özgür Özdemir, Emre Salih Akın, Rıza Velioğlu [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2024-03-05

Addressing data scarcity issue for English–Mizo neural machine translation using data augmentation and language model

Vanlalmuansangi Khenglawt, Sahinur Rahman Laskar, Partha Pakray [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2020-10

What counts as an exemplar model,anyway? A commentary on Ambridge (2020)

Kyle Mahowald, George Kachergis, Michael C. Frank

First Language

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Research article

First published 2022-1

Incident detection and classification in renewable energy news using pre-trained language models on deep neural networks

Qiqing Wang, Cunbin Li

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 1991-06

MDL: A system for fast simulation of large layered neural networks

Jeffrey Lee Teeters

SIMULATION

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Research article

First published 2022-11

Politics as Usual? Measuring Populism,Nationalism,and Authoritarianism in U.S. Presidential Campaigns (1952–2020) with Neural Language Models

Bart Bonikowski, Yuchen Luo, Oscar Stuhler

Sociological Methods & Research

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Research article

First published 2020-10

Exemplar models are useful and deep neural networks overcome their limitations: A commentary on Ambridge (2020)

James L. McClelland

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