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1 to 10 of 4,494 Results
00_README_Schriner-2022-RU_Zaliznyak.txt
Mar 4, 2025 - Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools
Plain Text - 7.1 KB - MD5: ef269e39450a757f3002582f49e846aa
A description of the dataset and file using the DataverseNO template v2.4.
Schriner-2022-RU_Zaliznyak.tsv
Mar 4, 2025 - Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools
Tab-Separated Values - 28.8 MB - MD5: c9e042eacdc77d00682a08c4d3534846
00_README.txt
Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach
Plain Text - 6.6 KB - MD5: 6f103a78f8cfea04f5608f9258cba7ad
A_lexemes_used_for_regression_model.csv
Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach
Comma Separated Values - 2.7 KB - MD5: 1dc1ff2562a9cafcd733cc28f75734ca
see README file
B_defective_verbs_frequency_counts.csv
Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach
Comma Separated Values - 674 B - MD5: e12371df20ed91efd1bdb615943291c6
see README file
C_results_summary.csv
Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach
Comma Separated Values - 6.2 KB - MD5: 8b71c434405ab4ff9e3722f4a1cccc94
see README file
00_README.txt
Feb 24, 2025 - Replication Data for: Going Beyond Words: Engaging Grammar for Insights into Political Discourse
Plain Text - 10.4 KB - MD5: e8da60941e97c04f8420f8b57e8bd9dc
This is the README file.
01_Speech2023-02-21.txt
Feb 24, 2025 - Replication Data for: Going Beyond Words: Engaging Grammar for Insights into Political Discourse
Plain Text - 139.6 KB - MD5: 457d40e90cf4576fc0ff32ed1a8c778b
02_Speech2024-02-29.txt
Feb 24, 2025 - Replication Data for: Going Beyond Words: Engaging Grammar for Insights into Political Discourse
Plain Text - 169.1 KB - MD5: 787c445ce3373f6f1546bf5d4416fcbb
03_Rossija_Speech2024-02-29.csv
Feb 24, 2025 - Replication Data for: Going Beyond Words: Engaging Grammar for Insights into Political Discourse
Comma Separated Values - 18.7 KB - MD5: c10e0d89cdfe5c066f5cc7cb60f329a9
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