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4,431 to 4,440 of 4,833 Results
Plain Text - 854.7 KB - MD5: 7f120995f514dc8c682a83f1824b8bcd
CSV file: stability
Results of the stability experiment. Profile type: simple; annotation scheme: PROIEL; subjects included. First column: sample size; other columns: stability for a given datapoint. Note that the exact number of datapoints (=number of columns) depends on the number of verbs available at a given sample size, but is never less than 1000. Encoding: U...
Plain Text - 4.5 KB - MD5: 8f0620ac369541f5ca8c78868c3db935
Script
Ruby script which evaluates the stability of profiles built using frames of different types. For every combination of frame type and annotation scheme outputs two files: average values (not uploaded here) and full set of datapoints (uploaded. Notice that the algorithm uses randomization, i.e. the results will be slightly different every time you ru...
Unknown - 1.7 MB - MD5: eefbcc44372a9048ed3c4a91ca4fff11
XLSX file: statistical significance
Statistical significance for the stability experiment: p-values (pairwise homoscedastic t-tests with Bonferroni correction) and effect sizes (Cohen's d). Large p-values (corrected) and negligible effect sizes are highlighted in resp. red and yellow (may not work if the software is not compatible with Excel 2010).
Plain Text - 869.6 KB - MD5: 280d89a20b18388947d6d318332e5733
CSV file: stability
Results of the stability experiment. Profile type: partly enriched; annotation scheme: MTT (=Syntagrus' native annotation); subjects included. First column: sample size; other columns: stability for a given datapoint. Note that the exact number of datapoints (=number of columns) depends on the number of verbs available at a given sample size, but...
Plain Text - 866.4 KB - MD5: ff294b6a80735caedc30ffdbde1107c2
CSV file: stability
Results of the stability experiment. Profile type: partly enriched; annotation scheme: PROIEL; subjects included. First column: sample size; other columns: stability for a given datapoint. Note that the exact number of datapoints (=number of columns) depends on the number of verbs available at a given sample size, but is never less than 1000. Encod...
Nov 19, 2019
Arkhangelskiy, Timofey, 2019, "Replication data for: Verbal borrowability and turnover rates", https://doi.org/10.18710/JFNESU, DataverseNO, V1
This is the dataset used in the study of verbal and nominal borrowings in written literary Russian language, their diachronic developments and their connection to frequency. The files contain a list of Russian lexemes annotated for borrowing status and a number of files with calculated probabilities of disappearance for lexemes of different frequen...
Plain Text - 5.1 KB - MD5: ad6d57be8d3a6b3464a416c71110edb7
Plain Text - 2.2 MB - MD5: 4577efe87ae234366ad2bb45c8fbaa4f
Plain Text - 701.4 KB - MD5: a24560f5c62070a6842abfebf54eafc7
Plain Text - 719.1 KB - MD5: dafb4dda70d7cb5bae77c620d8b8f1b2
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