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File Type: Text

106,981 to 106,990 of 106,993 Results

data_description.txt Jun 18, 2014 - Romanian Weak Pronoun Choice Data Plain Text - 4.0 KB - MD5: 1a64ec838fbb219910c85e75820c9a64 Format description description of the xml format of the extracted data
Chapter8_dataset_c_tree_forest_1.csv Jun 17, 2014 - Variation in pri- and pod- attenuatives in Russian Plain Text - 326.1 KB - MD5: c92d2f6fd2ebd96fab97c63e5f7464df Csv for statistical analysis
R_Script_Chapters_7_8.R Jun 17, 2014 - Variation in pri- and pod- attenuatives in Russian Plain Text - 14.6 KB - MD5: 926bdb4a437afbb8b68e1ad69c01f8e7 R script used for the analysis
PrCompV.csv Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic Plain Text - 61.5 KB - MD5: 33258e908be021fcb1ccb4f38cee475b The database for statistical analysis
PrCompV.R Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic Plain Text - 2.9 KB - MD5: 3eff738341c6b7f07b5143cf75ce9971 R script used for the analysis: Principle Components
Ch3Table1Correct.R 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.
Ch3Table1.exp.values.R 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...
Ch4data.csv Jun 16, 2014 - Why Russian Prefixes Aren’t Empty Plain Text - 30.0 KB - MD5: 74c93d226b3e57f3987bc11b99edd2eb The Russian verb gruzit’ ‘load’ is special for three reasons. First, this verb has two syntactic constructions it can appear in, second it has three Natural Perfectives, and third all three Natural Perfectives can also use both constructions. The two constructions that gruzit’ ‘l...
Ch4.R Jun 16, 2014 - Why Russian Prefixes Aren’t Empty Plain Text - 1.2 KB - MD5: 4ef97f730a49bc25e603b468794a4261 The first thing the R script does is to give you a summary of the dataset. Scroll up to the top of the results and you will find a table that looks like this: CONSTRUCTION VERB REDUCED PARTICIPLE goal : 871 _zero:393 no :1353 no : 895 theme:1049 na :368 yes: 567 yes:1025...
Ch6data.csv Jun 16, 2014 - Why Russian Prefixes Aren’t Empty Plain Text - 96.5 KB - MD5: 7e204860460fb3d016f3c453249ecbf3 Aspectual Triplets: An aspectual triplet is a set of three verbs, consisting of a simplex verb, a prefixed Natural Perfective, and a secondary imperfective derived via suffixation of the Natural Perfective. All three verbs have the same lexical meaning and the members of a tripl...

data_description.txt

Jun 18, 2014 - Romanian Weak Pronoun Choice Data

Plain Text - 4.0 KB -

Format description

description of the xml format of the extracted data

Chapter8_dataset_c_tree_forest_1.csv

Jun 17, 2014 - Variation in pri- and pod- attenuatives in Russian

Plain Text - 326.1 KB -

Csv for statistical analysis

R_Script_Chapters_7_8.R

Jun 17, 2014 - Variation in pri- and pod- attenuatives in Russian

Plain Text - 14.6 KB -

R script used for the analysis

PrCompV.csv

Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic

Plain Text - 61.5 KB -

The database for statistical analysis

PrCompV.R

Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic

Plain Text - 2.9 KB -

R script used for the analysis: Principle Components

Ch3Table1Correct.R

Jun 16, 2014 - Why Russian Prefixes Aren’t Empty

Plain Text - 1.1 KB -

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.

Ch3Table1.exp.values.R

Jun 16, 2014 - Why Russian Prefixes Aren’t Empty

Plain Text - 3.2 KB -

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...

Ch4data.csv

Jun 16, 2014 - Why Russian Prefixes Aren’t Empty

Plain Text - 30.0 KB -

The Russian verb gruzit’ ‘load’ is special for three reasons. First, this verb has two syntactic constructions it can appear in, second it has three Natural Perfectives, and third all three Natural Perfectives can also use both constructions. The two constructions that gruzit’ ‘l...

Ch4.R

Jun 16, 2014 - Why Russian Prefixes Aren’t Empty

Plain Text - 1.2 KB -

The first thing the R script does is to give you a summary of the dataset. Scroll up to the top of the results and you will find a table that looks like this: CONSTRUCTION VERB REDUCED PARTICIPLE goal : 871 _zero:393 no :1353 no : 895 theme:1049 na :368 yes: 567 yes:1025...

Ch6data.csv

Jun 16, 2014 - Why Russian Prefixes Aren’t Empty

Plain Text - 96.5 KB -

Aspectual Triplets: An aspectual triplet is a set of three verbs, consisting of a simplex verb, a prefixed Natural Perfective, and a secondary imperfective derived via suffixation of the Natural Perfective. All three verbs have the same lexical meaning and the members of a tripl...

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