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MF Norwegian School of Theology, Religion and Society

Nofima

Nord University

Norwegian Institute of Bioeconomy Research (NIBIO)

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NTNU – Norwegian University of Science and Technology

OsloMet – Oslo Metropolitan University

UiT The Arctic University of Norway

University of Agder

University of Bergen

University of Inland Norway

University of Oslo

University of Stavanger

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Western Norway University of Applied Sciences

Østfold University College

TROLLing

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130,281 to 130,290 of 130,318 Results

jrc_ac_prosthetic_weak_pronouns_RON.tgz Jun 18, 2014 - Romanian Weak Pronoun Choice Data Unknown - 9.9 MB - MD5: 2f3e776c4d350df6287d91072a243045 Data files î-prosthetic forms extracted from the Romanian part of the JRC-Acquis corpus
Replication data for: Metafor og metonymi: personkarakteriserende sammensatte substantiv i norsk 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...
Description of database for Norwegian negative compounds.docx 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
negative word formation Norw database 4 CSV version.csv 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
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
Experiment_Results.xlsx Jun 17, 2014 - Variation in pri- and pod- attenuatives in Russian Unknown - 1.9 MB - MD5: 454d18b456db54a18b2f1367ba14899d Results of the experiment
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
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...

jrc_ac_prosthetic_weak_pronouns_RON.tgz

Jun 18, 2014 - Romanian Weak Pronoun Choice Data

Unknown - 9.9 MB -

Data files

î-prosthetic forms extracted from the Romanian part of the JRC-Acquis corpus

Replication data for: Metafor og metonymi: personkarakteriserende sammensatte substantiv i norsk

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...

Description of database for Norwegian negative compounds.docx

Jun 17, 2014 - Replication data for: Metafor og metonymi: personkarakteriserende sammensatte substantiv i norsk

Unknown - 84.7 KB -

Short description of the database for Norwegian negative compounds

negative word formation Norw database 4 CSV version.csv

Jun 17, 2014 - Replication data for: Metafor og metonymi: personkarakteriserende sammensatte substantiv i norsk

Comma Separated Values - 30.0 KB -

Database for Norwegian negative compounds

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

Experiment_Results.xlsx

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

Unknown - 1.9 MB -

Results of the experiment

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

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...

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