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Results 1 - 20 of 3,670  for All Library Resources

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1
Identifying Childhood Expressive Language Features That Best Predict Adult Language and Communication Outcome in Individuals with Autism Spectrum Disorder
Identifying Childhood Expressive Language Features That Best Predict Adult Language and Communication Outcome in Individuals with Autism Spectrum Disorder
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Identifying Childhood Expressive Language Features That Best Predict Adult Language and Communication Outcome in Individuals with Autism Spectrum Disorder

Journal of speech, language, and hearing research, 2021-06, Vol.64 (6), p.1977-1991 [Peer Reviewed Journal]

COPYRIGHT 2021 American Speech-Language-Hearing Association ;Copyright American Speech-Language-Hearing Association Jun 2021 ;Copyright © 2021 American Speech-Language-Hearing Association ;ISSN: 1092-4388 ;EISSN: 1558-9102 ;DOI: 10.1044/2021_JSLHR-20-00544 ;PMID: 33984242

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2
Geolocation of multiple sociolinguistic markers in Buenos Aires
Geolocation of multiple sociolinguistic markers in Buenos Aires
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Geolocation of multiple sociolinguistic markers in Buenos Aires

PloS one, 2022-09, Vol.17 (9), p.e0274114-e0274114 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Kellert, Matlis. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Kellert, Matlis 2022 Kellert, Matlis ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0274114 ;PMID: 36084118

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3
The Role of Voice Quality in Mandarin Sarcastic Speech: An Acoustic and Electroglottographic Study
The Role of Voice Quality in Mandarin Sarcastic Speech: An Acoustic and Electroglottographic Study
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The Role of Voice Quality in Mandarin Sarcastic Speech: An Acoustic and Electroglottographic Study

Journal of speech, language, and hearing research, 2020-08, Vol.63 (8), p.2578-2588 [Peer Reviewed Journal]

COPYRIGHT 2020 American Speech-Language-Hearing Association ;COPYRIGHT 2020 American Speech-Language-Hearing Association ;ISSN: 1092-4388 ;EISSN: 1558-9102 ;DOI: 10.1044/2020_JSLHR-19-00166

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4
State-of-the-Art Review of the Corpus Linguistics Field From the Beginning Until the Development of ChatGPT
State-of-the-Art Review of the Corpus Linguistics Field From the Beginning Until the Development of ChatGPT
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State-of-the-Art Review of the Corpus Linguistics Field From the Beginning Until the Development of ChatGPT

Theory and practice in language studies, 2024-02, Vol.14 (2), p.423-431 [Peer Reviewed Journal]

COPYRIGHT 2024 Academy Publication Co., LTD ;Copyright Academy Publication Co., Ltd. Feb 2024 ;ISSN: 1799-2591 ;EISSN: 2053-0692 ;DOI: 10.17507/tpls.1402.13

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5
Bayesian Tree Substitution Grammars as a Usage-based Approach
Bayesian Tree Substitution Grammars as a Usage-based Approach
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Bayesian Tree Substitution Grammars as a Usage-based Approach

Language and speech, 2013-09, Vol.56 (3), p.291-308 [Peer Reviewed Journal]

The Author(s) 2013 ;COPYRIGHT 2013 Sage Publications Ltd. (UK) ;COPYRIGHT 2013 Sage Publications, Inc. ;Copyright Sage Publications Ltd. Sep 2013 ;ISSN: 0023-8309 ;EISSN: 1756-6053 ;DOI: 10.1177/0023830913484901 ;PMID: 24416958 ;CODEN: LANSA4

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6
On the fractal patterns of language structures
On the fractal patterns of language structures
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On the fractal patterns of language structures

PloS one, 2023-05, Vol.18 (5), p.e0285630-e0285630 [Peer Reviewed Journal]

Copyright: © 2023 Ribeiro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Ribeiro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Ribeiro et al 2023 Ribeiro et al ;2023 Ribeiro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0285630 ;PMID: 37200318

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7
Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records
Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records
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Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records

PloS one, 2020-03, Vol.15 (3), p.e0230049-e0230049 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Hur et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Hur et al 2020 Hur et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0230049 ;PMID: 32168354

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8
Predicting probable Alzheimer's disease using linguistic deficits and biomarkers
Predicting probable Alzheimer's disease using linguistic deficits and biomarkers
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Predicting probable Alzheimer's disease using linguistic deficits and biomarkers

BMC bioinformatics, 2017-01, Vol.18 (1), p.34-34, Article 34 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s) 2017 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-016-1456-0 ;PMID: 28088191

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9
Predicting Site Energy Usage Intensity Using Machine Learning Models
Predicting Site Energy Usage Intensity Using Machine Learning Models
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Predicting Site Energy Usage Intensity Using Machine Learning Models

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.82 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23010082 ;PMID: 36616680

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10
The write algorithm: promoting responsible artificial intelligence usage and accountability in academic writing
The write algorithm: promoting responsible artificial intelligence usage and accountability in academic writing
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The write algorithm: promoting responsible artificial intelligence usage and accountability in academic writing

BMC medicine, 2023-09, Vol.21 (1), p.1-334, Article 334 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1741-7015 ;EISSN: 1741-7015 ;DOI: 10.1186/s12916-023-03039-7 ;PMID: 37667296

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11
Chinese sign language recognition based on surface electromyography and motion information
Chinese sign language recognition based on surface electromyography and motion information
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Chinese sign language recognition based on surface electromyography and motion information

PloS one, 2023-12, Vol.18 (12), p.e0295398-e0295398 [Peer Reviewed Journal]

Copyright: © 2023 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0295398 ;PMID: 38060609

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12
A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records
A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records
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A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records

PloS one, 2021-02, Vol.16 (2), p.e0247404-e0247404 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Annapragada et al 2021 Annapragada et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0247404 ;PMID: 33635890

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13
xCAPT5: protein-protein interaction prediction using deep and wide multi-kernel pooling convolutional neural networks with protein language model
xCAPT5: protein-protein interaction prediction using deep and wide multi-kernel pooling convolutional neural networks with protein language model
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xCAPT5: protein-protein interaction prediction using deep and wide multi-kernel pooling convolutional neural networks with protein language model

BMC bioinformatics, 2024-03, Vol.25 (1), p.106-106 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-024-05725-6 ;PMID: 38461247

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14
E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes
E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes
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E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes

PloS one, 2022-04, Vol.17 (4), p.e0266097-e0266097 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0266097 ;PMID: 35385532

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15
Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification
Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification
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Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification

Sensors (Basel, Switzerland), 2022-09, Vol.22 (17), p.6621 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22176621 ;PMID: 36081076

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16
UltrasonicGS: A Highly Robust Gesture and Sign Language Recognition Method Based on Ultrasonic Signals
UltrasonicGS: A Highly Robust Gesture and Sign Language Recognition Method Based on Ultrasonic Signals
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UltrasonicGS: A Highly Robust Gesture and Sign Language Recognition Method Based on Ultrasonic Signals

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.1790 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23041790 ;PMID: 36850389

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17
Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data
Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data
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Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data

PloS one, 2020-03, Vol.15 (3), p.e0230114-e0230114 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0230114 ;PMID: 32160237

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18
miRWalk: An online resource for prediction of microRNA binding sites
miRWalk: An online resource for prediction of microRNA binding sites
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miRWalk: An online resource for prediction of microRNA binding sites

PloS one, 2018-10, Vol.13 (10), p.e0206239-e0206239 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Sticht et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Sticht et al 2018 Sticht et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0206239 ;PMID: 30335862

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19
Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing
Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing
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Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing

PloS one, 2022-08, Vol.17 (8), p.e0270595-e0270595 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Chaichulee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Chaichulee et al 2022 Chaichulee et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0270595 ;PMID: 35925971

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20
Describing Vocalizations in Young Children: A Big Data Approach through Citizen Science Annotation
Describing Vocalizations in Young Children: A Big Data Approach through Citizen Science Annotation
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Describing Vocalizations in Young Children: A Big Data Approach through Citizen Science Annotation

Journal of speech, language, and hearing research, 2021-07, Vol.64 (7), p.2401-2416 [Peer Reviewed Journal]

COPYRIGHT 2021 American Speech-Language-Hearing Association ;Copyright American Speech-Language-Hearing Association Jul 2021 ;Distributed under a Creative Commons Attribution 4.0 International License ;Copyright © 2021 American Speech-Language-Hearing Association ;ISSN: 1092-4388 ;EISSN: 1558-9102 ;DOI: 10.1044/2021_JSLHR-20-00661 ;PMID: 34098723

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