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1,221 to 1,230 of 2,011 Results

WEB (clean).xml Nov 27, 2023 - The Bible and Natural Language Processing: Building a Corpus for Digital Scholars XML - 4.8 MB - MD5: 3f0c7167cfc2667583c36e1f6c248fcc World English Bible
YLT (clean).xml Nov 27, 2023 - The Bible and Natural Language Processing: Building a Corpus for Digital Scholars XML - 4.9 MB - MD5: dfe068a43dfc1f89e1f9fe91ff73ae23 Young's Literal Translation
Lockdown Impact Scale for Caregivers (LIS-C) Nov 20, 2023 Dailey, Stephanie F, 2023, "Lockdown Impact Scale for Caregivers (LIS-C)", https://doi.org/10.13021/orc2020/XPGLKC, George Mason University Dataverse, V1, UNF:6:Ba0vZOpR+YrKFnsDtdKTMw== [fileUNF] A national sample of 999 caregivers with at least one child currently enrolled in grades K-12.
1.07_Parent School Safety Survey_8.3.23.tab Nov 20, 2023 - Lockdown Impact Scale for Caregivers (LIS-C) Tabular Data - 800.9 KB - 222 Variables, 999 Observations - UNF:6:Ba0vZOpR+YrKFnsDtdKTMw== A national sample of 999 caregivers with at least one child currently enrolled in grades K-12.
Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation" Oct 23, 2023 Kelley, Matthew C; Perry, Scott James; Tucker, Benjamin V, 2023, "Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"", https://doi.org/10.13021/orc2020/PDSAP7, George Mason University Dataverse, V1 These are the TextGrid outputs of the alignments run during the evaluation process for the MAPS paper. They are separated into train, validation, and test sets. The results from training and running the Montreal Forced Aligner (MFA) are also provided. The tar file for MFA contain...
mfa_tg.tar.bz2 Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation" Compressed Archive - 3.0 MB - MD5: 9acf688c4867b034bfb77296f1515ae4
test_tg.tar.bz2 Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation" Compressed Archive - 41.7 MB - MD5: 22bccff875b3414f048ee53f2963647a
train_tg.tar.bz2 Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation" Compressed Archive - 245.9 MB - MD5: aad1b9d97eb50140984e00bcea8e4bd0
val_tg.tar.bz2 Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation" Compressed Archive - 17.9 MB - MD5: a62a85d53f4a318711c75682a16e6286
Building data - Engineering Oct 23, 2023 - Mason Living Lab Ungvari, Judit, 2023, "Building data - Engineering", https://doi.org/10.13021/orc2020/YYRBCZ, George Mason University Dataverse, V1 Spreadsheets on utilities consumption in the Engineering Building on the Fairfax campus of George Mason University. The data are available for classroom and research purposes, provided by the Facilities and Office of Sustainability.

WEB (clean).xml

Nov 27, 2023 - The Bible and Natural Language Processing: Building a Corpus for Digital Scholars

XML - 4.8 MB -

World English Bible

YLT (clean).xml

Nov 27, 2023 - The Bible and Natural Language Processing: Building a Corpus for Digital Scholars

XML - 4.9 MB -

Young's Literal Translation

Lockdown Impact Scale for Caregivers (LIS-C)

Nov 20, 2023

Dailey, Stephanie F, 2023, "Lockdown Impact Scale for Caregivers (LIS-C)", https://doi.org/10.13021/orc2020/XPGLKC, George Mason University Dataverse, V1, UNF:6:Ba0vZOpR+YrKFnsDtdKTMw== [fileUNF]

A national sample of 999 caregivers with at least one child currently enrolled in grades K-12.

1.07_Parent School Safety Survey_8.3.23.tab

Nov 20, 2023 - Lockdown Impact Scale for Caregivers (LIS-C)

Tabular Data - 800.9 KB - 222 Variables, 999 Observations -

A national sample of 999 caregivers with at least one child currently enrolled in grades K-12.

Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"

Oct 23, 2023

Kelley, Matthew C; Perry, Scott James; Tucker, Benjamin V, 2023, "Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"", https://doi.org/10.13021/orc2020/PDSAP7, George Mason University Dataverse, V1

These are the TextGrid outputs of the alignments run during the evaluation process for the MAPS paper. They are separated into train, validation, and test sets. The results from training and running the Montreal Forced Aligner (MFA) are also provided. The tar file for MFA contain...

mfa_tg.tar.bz2

Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"

Compressed Archive - 3.0 MB -

test_tg.tar.bz2

Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"

Compressed Archive - 41.7 MB -

train_tg.tar.bz2

Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"

Compressed Archive - 245.9 MB -

val_tg.tar.bz2

Oct 23, 2023 - Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"

Compressed Archive - 17.9 MB -

Building data - Engineering

Oct 23, 2023 - Mason Living Lab

Ungvari, Judit, 2023, "Building data - Engineering", https://doi.org/10.13021/orc2020/YYRBCZ, George Mason University Dataverse, V1

Spreadsheets on utilities consumption in the Engineering Building on the Fairfax campus of George Mason University. The data are available for classroom and research purposes, provided by the Facilities and Office of Sustainability.

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