11 to 20 of 37 Results
Nov 30, 2022
Wang, Hongsu, 2022, "2957 Entries of Chinese Academies", https://doi.org/10.7910/DVN/J6XRIV, Harvard Dataverse, V1, UNF:6:5p3Ksj4ClsQPRcl85T6s1g== [fileUNF]
In total 2957 entries of Chinese academies, including: 137 entries collected by researchers, id: 1~125,199,36,384,481,510, 542,900,969,1010,1109,1136,1386 (merged with CBDB data where possible) 1267 entries from CBDB database, id: 126~1392; 1565 entries automatically extracted from the Dictionary of Chinese Academies, id: 1393~2957. Data provided b... |
Nov 30, 2022 -
2957 Entries of Chinese Academies
Tabular Data - 698.2 KB - 54 Variables, 2957 Observations - UNF:6:5p3Ksj4ClsQPRcl85T6s1g==
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Sep 23, 2022
China Biographical Database project, 2022, "Writings of the 19c missionaries in China", https://doi.org/10.7910/DVN/CE4ZNG, Harvard Dataverse, V1, UNF:6:d/dIwoMl4MgTrDXR8Ob6Xg== [fileUNF]
1033 records of writings of the 19c missionaries in China. Source: Memorials of Protestant missionaries to the Chinese |
Sep 23, 2022 -
Writings of the 19c missionaries in China
Tabular Data - 189.3 KB - 11 Variables, 1033 Observations - UNF:6:d/dIwoMl4MgTrDXR8Ob6Xg==
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Sep 21, 2022
Wang, Hongsu, 2021, "LoGaRT Tagging Tool - Based on BERT", https://doi.org/10.7910/DVN/BWIBNL, Harvard Dataverse, V3
An BERT model based tagging tool for 職官志 in China historical gazetteers which was developed by Liu Zhou. We followed the tagging standard of LoGaRT project. If you want to learn more about LoGaRT, you can visit this url: https://www.mpiwg-berlin.mpg.de/research/projects/logart-local-gazetteers-research-tools You can also find the source codes here:... |
Sep 21, 2022 -
LoGaRT Tagging Tool - Based on BERT
ZIP Archive - 373.7 MB -
MD5: f869c4dff1dc4454273dd37844cf03d1
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Jan 29, 2022 -
LoGaRT Tagging Tool - Based on BERT
7Z Archive - 1.5 GB -
MD5: d38e4c0d89ee2a574079b309c1bfce48
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Jan 29, 2022 -
ACCESS and SQLite DB Version (latest)
7Z Archive - 83.4 MB -
MD5: 11eebe7b203e1e77bb7462799bd2d5e5
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Jan 29, 2022 -
ACCESS and SQLite DB Version (latest)
7Z Archive - 172.8 MB -
MD5: 57ccee3e320f9dd8b7d536dfbb4f4ec8
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May 26, 2021 -
ACCESS and SQLite DB Version (latest)
7Z Archive - 83.6 MB -
MD5: 9cd048b3de4b87240967577e09fce10b
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