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Plain Text - 9.0 KB - MD5: 90fe8999d9ccc8a8f9202a852599e4ae
Chapter 3: The study of the prefixes RAZ-, RAS-, and RAZO- 'apart'
This is the R code for the statistical analysis. The statistical analysis models the distribution of these polysemous but standard allomorphs and evaluates the relative impact of each factor.
Plain Text - 2.9 KB - MD5: b65b2027fec8b2d7de6ef4c30e13f251
Chapter 4: The study of the prefixes S- and SO- 'downward, with'
This is the R code for the statistical analysis discussed in Chapter 4.
Plain Text - 1.5 KB - MD5: 328314b5d754fff675d7881306795420
Chapter 8: The study of the prefixes VY- and IZ- 'out of'
This R code documents the statistical tests discussed in Chapter 8.
Plain Text - 1.3 KB - MD5: 56553bfb47f5e4c6fbc35a53a17f1d60
Chapter 7: The study of the prefixes VZ- and VOZ- 'up'
This R code documents the statistical test discussed in Chapter 7.
Plain Text - 504.6 KB - MD5: b2abddcacea8bdca322ff3b14160efdb
Chapter 9: The study of the prefixes O- and U- in factitive verbs. PART 2: EXPERIMENT
This is the database for the statistical analysis.
Unknown - 489.9 KB - MD5: e0e214778c1b14b44797f7c2c2c4a74b
Chapter 4: The study of the prefixes S- and SO- 'downward, with'
This database contains 998 Modern Russian verbs in S- and SO- collected from the Russian National Corpus. Each verb is assigned a number of tags and is illustrated with examples from the corpus.
Unknown - 394.8 KB - MD5: cb7fc543faafb0d85471e9fd0a26bd00
Chapter 8: The study of the prefixes VY- and IZ- 'out of'
This database contains 989 verbs in VY- and IZ- attested in the Russian National Corpus.
MS Excel Spreadsheet - 356.5 KB - MD5: c023d0b99dccdbf0d79aca57d754f802
Chapter 7: The study of the prefixes VZ- and VOZ- 'up'
This database contains 384 verbs in VZ- and VOZ- collected from the Russian National Corpus.
Plain Text - 1.1 MB - MD5: c2950ad99c336b1681ccf28d7ceb455a
Data Part Two
This dataset represents all the examples of byti extracted from the PROIEL corpus and tagged for the grammatical construction they appear in. Description of columns A=source (the manuscript that the example comes from); values=Marianus, Supr. (Suprasliensis), Zogr. (Zographensis)...
Plain Text - 2.6 KB - MD5: abb598d28db759ace0de09580689f75e
R Scripts Part One
This script runs an analysis of byti as a single verb using the data in verbs.csv.
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