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Mar 17, 2022 -
Diachronic French Reveal Secret frame
XML - 10.3 KB -
MD5: dd6a30289b20943d7843677c7bec4883
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Mar 17, 2022 -
Diachronic French Reveal Secret frame
Comma Separated Values - 976.3 KB -
MD5: d0623d820eb1876448d7ea854efbd78b
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Aug 3, 2020
Eckhoff, Hanne; Berdicevskis, Aleksandrs, 2016, "Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts", https://doi.org/10.18710/FERT42, DataverseNO, V2
Historical treebanks tend to be manually annotated, which is not surprising, since state-of-the-art parsers are not accurate enough to ensure high-quality annotation for historical texts. We show that automatic parsing can be an efficient pre-annotation tool for Old East Slavic texts. |
Nov 16, 2016 -
Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts
Plain Text - 6.3 KB -
MD5: d21be59f3c58d35a54a9233aebc86b24
Description of the dataset. |
Nov 16, 2016 -
Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts
application/x-ruby - 4.8 KB -
MD5: 473f7f7a0c705a699cc37cb6b99021fc
See readme.txt |
Nov 16, 2016 -
Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts
application/x-ruby - 4.8 KB -
MD5: 84cf91b160c8c921bf500deaabb0ad49
See readme.txt |
Nov 16, 2016 -
Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts
application/x-ruby - 3.9 KB -
MD5: a88d794fed532815074e7170ee3a317d
See readme.txt |
Nov 16, 2016 -
Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts
application/x-ruby - 4.8 KB -
MD5: fde60e6595547ebd08c6b3efe4b52079
See readme.txt |
Nov 16, 2016 -
Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts
application/x-ruby - 3.7 KB -
MD5: ae2ac42fa5e8f969039ec124e8f5bd32
See readme.txt |
Nov 16, 2016 -
Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts
application/x-ruby - 4.3 KB -
MD5: 807ce8d3649d9f1cd8a1994f2bfccb04
See readme.txt |
