128,921 to 128,930 of 128,959 Results
Jun 18, 2014 -
Romanian Weak Pronoun Choice Data
Unknown - 2.6 MB -
MD5: aa68732f41d0ad9968b2552f5a664f98
enclitic forms extracted from the Romanian part of the JRC-Acquis corpus (http://ec.europa.eu/dgs/jrc/) |
Jun 18, 2014 -
Romanian Weak Pronoun Choice Data
Unknown - 9.9 MB -
MD5: 2f3e776c4d350df6287d91072a243045
î-prosthetic forms extracted from the Romanian part of the JRC-Acquis corpus |
Jun 17, 2014 - TROLLing
Nesset, Tore, 2014, "Replication data for: Metafor og metonymi: personkarakteriserende sammensatte substantiv i norsk", https://doi.org/10.18710/SEDBXL, DataverseNO, V1
This is a database of Norwegian "negative compounds", i.e. compounds like drukkenbolt ‘drunkard’ and dustemikkel ‘stupid person’, which denote persons and involve (mostly) negative connotations. The data were extracted from three major dictionaries, viz. Bokmålsordboka, Nynorskor... |
Jun 17, 2014 -
Replication data for: Metafor og metonymi: personkarakteriserende sammensatte substantiv i norsk
Unknown - 84.7 KB -
MD5: 0f4467711e09c1cd83cf58825c81fde5
Short description of the database for Norwegian negative compounds |
Jun 17, 2014 -
Replication data for: Metafor og metonymi: personkarakteriserende sammensatte substantiv i norsk
Comma Separated Values - 30.0 KB -
MD5: 40a79578527f18635a4c0764cc625025
Database for Norwegian negative compounds |
Jun 17, 2014 -
Variation in pri- and pod- attenuatives in Russian
Plain Text - 326.1 KB -
MD5: c92d2f6fd2ebd96fab97c63e5f7464df
Csv for statistical analysis |
Jun 17, 2014 -
Variation in pri- and pod- attenuatives in Russian
Unknown - 1.9 MB -
MD5: 454d18b456db54a18b2f1367ba14899d
Results of the experiment |
Jun 17, 2014 -
Variation in pri- and pod- attenuatives in Russian
Plain Text - 14.6 KB -
MD5: 926bdb4a437afbb8b68e1ad69c01f8e7
R script used for the analysis |
Jun 16, 2014 -
Why Russian Prefixes Aren’t Empty
Plain Text - 1.1 KB -
MD5: 11d1c771365686606e450d20d886f0e1
This R script will give you the chi-squared value, the degrees of freedom, the p-value, and the effect size for Table 1 in Chapter 3. You can open and read the commentary in the R script to see how it is done. |
Jun 16, 2014 -
Why Russian Prefixes Aren’t Empty
Plain Text - 3.2 KB -
MD5: 460e10aa9d60a3b0fa52e4c9e4a76264
We used a simple formula involving the row and column totals in order to calculate the expected values for all the cells in Table 1. Here it is: expected value = (row sum x column sum) / total sum. The total sum for Table 1 is 382, and all of the row and column totals are listed... |