Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’doi:10.18710/TZYDNQDataverseNO2017-05-231Nordrum, Maria, 2017, "Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’", https://doi.org/10.18710/TZYDNQ, DataverseNO, V1, UNF:6:IIcqQd/NhX1Ce83PxjZP5A== [fileUNF]Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’doi:10.18710/TZYDNQNordrum, MariaUiT The Arctic University of NorwayDataverseNOThe Tromsø Repository of Language and Linguistics (TROLLing)Nordrum, MariaNordrum, Maria2017-05-19Arts and HumanitiesCorrespondence AnalysisRussian aspectNatural PerfectivesSpecialized PerfectivesSynchrony vs. diachronyThis dataset contains the database and statistical code used for a term paper in HIF-3082 Quantitative Methods in Linguistics, spring 2017. It includes two datasets (I and II). Dataset I is used for a synchronic analysis of the verb cluster putat’ ‘mix up, mess up, confuse, tangle’ in Russian. There are seven verbs in the analysis: the simplex imperfective putat’ and six of its perfectives. Dataset I involves 1400 examples from the Russian National Corpus (years 1950-2016) that are tagged with semantic category of the verbs’ patients. Based on these semantic categories, I run a Correspondence Analysis to explore the relationship between verb and type of patient. Dataset II involves 295 examples from the Russian National Corpus (years 1800-1849) of the same verbs. The examples are tagged with the same semantic categories of patients as the examples in Dataset I. I use Correspondence Analysis to see whether the behavior of the verbs have changed over 200 years, and with that, the relationships within the verb cluster.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Database_TermPaper.tab17931text/tab-separated-valuesUNF:6:Q5aGFj7k75vu0BwcfEGf3w==Database used in the study.Dataset1.tab71text/tab-separated-valuesUNF:6:FhQFE+F2AcZQTllrOYBNHA==Frequency distribution of the semantic categories in Dataset I: 1800-1849 (relative frequency).Dataset2.tab71text/tab-separated-valuesUNF:6:SwYcmqP5d/72X7X2WutRMw==Frequency distribution of the semantic categories in Dataset II: 1950-2016 (relative frequency).Verb;TimePeriod;PatientUNF:6:Q5aGFj7k75vu0BwcfEGf3w==Verb;Abstract;Animate;Knots;Locations;LongThin;Networks;NonSpecific;PhysObjects;OmittedUNF:6:FhQFE+F2AcZQTllrOYBNHA==Verb;Abstract;Animate;Knots;Locations;LongThin;Networks;NonSpecific;PhysObjects;OmittedUNF:6:SwYcmqP5d/72X7X2WutRMw==README.txttext/plainR_code.txttext/plain