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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian |
Identification Number: |
doi:10.18710/PAKDS9 |
Distributor: |
DataverseNO |
Date of Distribution: |
2020-03-12 |
Version: |
1 |
Bibliographic Citation: |
Nordrum, Maria, 2020, "Replication Data for: Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian", https://doi.org/10.18710/PAKDS9, DataverseNO, V1, UNF:6:xeWLjUCAKeSFh33eYpFOyw== [fileUNF] |
Citation |
|
Title: |
Replication Data for: Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian |
Identification Number: |
doi:10.18710/PAKDS9 |
Authoring Entity: |
Nordrum, Maria (UiT The Arctic University of Norway) |
Other identifications and acknowledgements: |
Nesset, Tore |
Producer: |
UiT The Arctic University of Norway |
Distributor: |
DataverseNO |
Distributor: |
The Tromsø Repository of Language and Linguistics (TROLLing) |
Access Authority: |
Nordrum, Maria |
Depositor: |
Nordrum, Maria |
Date of Deposit: |
2019-10-16 |
Holdings Information: |
https://doi.org/10.18710/PAKDS9 |
Study Scope |
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Keywords: |
Arts and Humanities, Russian, aspect, perfectives, semelfactives, linguistic rivalry, corpus data, experimental data |
Abstract: |
This dataset includes all the data files that were used for the studies in my PhD dissertation "Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian" (2019). Most of the files involve data tables with annotated corpus data from the Russian National Corpus (www.ruscorpora.ru). Every tabular data file is available in two formats: .csv and .xlsx. The data files are numbered so that they are shown in the same order as they become relevant in the dissertation, and their contents are described in the ReadMe files with the same number. In addition, the dataset contains the R script and .txt file that was used in order to make the plot in Chapter 2. |
The dissertation investigates Russian perfective verbs with a prefix and the semelfactive suffix -nu-, such as zaxlopnut’ ‘slam shut’, for the sake of simplicity referred to as “Pref-Nu verbs”. Pref-Nu verbs have received only marginal attention in the scholarly literature, and in the dissertation a main goal is therefore to shed light on their distribution and productivity in Contemporary Standard Russian, as well as the type of verb clusters and semantic classes they represent. A second main goal is to compare the behavior of Pref-Nu verbs with the behavior of perfective verbs that have only one of the two relevant affixes, i.e. only a prefix, such as zaxlopat’ ‘begin to slam’, or only the semelfactive suffix -nu , such as xlopnut’ ‘slam, clap, bang once’. All of these questions are explored with data from the Russian National Corpus (years 1950-2017), and, as a general tendency, Pref-Nu verbs are found to differ from the other two verb types in that they express a single “quantum” of an action that yields some result. The choice between Pref-Nu verbs and other perfectives is furthermore explored through an informant experiment that focuses on cases of near-synonymy between related verbs. The results of the experiment indicate that none of the verbs are fully synonymous, although their semantic differences are often subtle. |
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Time Period: |
1950-2017 |
Country: |
Russian Federation |
Kind of Data: |
corpus data |
Kind of Data: |
experimental data |
Methodology and Processing |
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Sources Statement |
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Data Sources: |
The Russian National Corpus (RNC) is a large annotated corpus of Russian texts that is freely available to the public at www.ruscorpora.ru. For the studies in my dissertation, I used the main corpus of the RNC, which in November 2019 contained 280.000.000 words. In addition the corpus contains several specialised subcorpora, such as the news corpus, the historical corpus and the poetic corpus. |
The experimental data come from 203 native speakers of Russian. Most of them reported to live on the territory of Russia when the experiment was carried out and most of them did not have a higher education in linguistics. The experiment was carried out online. |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Nordrum, Maria (2020). Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian. PhD Thesis. Tromsø: Faculty of Humanities, Social Sciences and Education, UiT The Arctic University of Norway. |
Identification Number: |
10037/17718 |
Bibliographic Citation: |
Nordrum, Maria (2020). Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian. PhD Thesis. Tromsø: Faculty of Humanities, Social Sciences and Education, UiT The Arctic University of Norway. |
File Description--f10485 |
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File: 01_Database_PrefNu.tab |
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Notes: |
UNF:6:7XKFaF25lpUdRaZKHDa6XA== |
File Description--f10488 |
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File: 02_ExcludedVerbs.tab |
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Notes: |
UNF:6:aAtpgNBwNvQvLqFnWGZJxA== |
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File: 03_Participles_Homonymy.tab |
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Notes: |
UNF:6:U2ozCb06zG2/uIhQvyARtA== |
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File: 04_PRYGNUT.tab |
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Notes: |
UNF:6:UFVhTp5wDIA6PbWlYSwatA== |
File Description--f10498 |
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File: 05_XLOPNUT.tab |
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Notes: |
UNF:6:+3z4LrQAsbDj+OeVMAHrUg== |
File Description--f10500 |
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File: 06_KRIKNUT.tab |
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Notes: |
UNF:6:JvDIzxMsM6qgRoMFdExpog== |
File Description--f10503 |
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File: 07_PrefDyads_Selection.tab |
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Notes: |
UNF:6:RfQ0VbR8/mZNa1yK9TLmYQ== |
File Description--f10506 |
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File: 08_PrefDyads_Semantics.tab |
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Notes: |
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File: 09_PERELISTNUT_PERELISTAT.tab |
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Notes: |
UNF:6:6d3YhgneVCqz3xBUK9oN5Q== |
File Description--f10512 |
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File: 10_PERETRJAXNUT_PERETRJASTI.tab |
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Notes: |
UNF:6:TmDlsOTs0v3b+tL0LTDTqA== |
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File: 11_VYTRJAXNUT_VYTRJASTI.tab |
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Notes: |
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File: 12_SLIZNUT_SLIZAT.tab |
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Notes: |
UNF:6:Qti+tzW8esZS7p1UmbL0sg== |
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File: 13_STRUXNUT_STRUSIT.tab |
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Notes: |
UNF:6:q9qPrthUQIYMwcrDQMwkpg== |
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File: 14_UTKNUT_UTYKAT.tab |
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Notes: |
UNF:6:mbPtsqNFT6MjViEX3iuH2w== |
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File: 15_VSKRIKNUT_VSKRIČAT.tab |
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Notes: |
UNF:6:iGmDEG75fRIiLR6+/2aq0w== |
File Description--f10531 |
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File: 16_ZAPIXNUT_ZAPIXAT.tab |
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Notes: |
UNF:6:tjkDbGpIWBBW5bFN2jo5YA== |
File Description--f10534 |
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File: 17_ZATOLKNUT_ZATOLKAT.tab |
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Notes: |
UNF:6:3XzzwcVF09cnkoHtRtBfKA== |
File Description--f10536 |
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File: 18_ExperimentResults_PrefDyads.tab |
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Notes: |
UNF:6:il0rGkGBWJldaRZSDwaIPA== |
File Description--f10539 |
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File: 19_NuDyads_Semantics.tab |
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Notes: |
UNF:6:lhmLu1GxkwmJ1oR8+7LjyQ== |
File Description--f10542 |
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File: 20_ExperimentResults_NuDyads.tab |
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Notes: |
UNF:6:U2Fx5Yuab9ZKeutFrcMONQ== |
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Summary Statistics: StDev 0.33099407006914866; Mean 0.5940448267696344; Min. 0.003343166175024582; Valid 64.0; Max. 0.9960474308300395 Variable Format: numeric Notes: UNF:6:zqQJUrSMSyUOMB1nZVqc6Q== |
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Summary Statistics: Valid 0.0; Min. NaN; StDev NaN; Max. NaN; Mean NaN Variable Format: numeric Notes: UNF:6:fwiMM/tTuI3L4Yj8BFAwFw== |
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Summary Statistics: Min. NaN; Valid 0.0; Max. NaN; StDev NaN; Mean NaN; Variable Format: numeric Notes: UNF:6:vVDhLFXdo+5EPBy21xx7zw== |
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Summary Statistics: Min. NaN; Valid 0.0; Max. NaN; Mean NaN; StDev NaN Variable Format: numeric Notes: UNF:6:vVDhLFXdo+5EPBy21xx7zw== |
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Variable Format: character Notes: UNF:6:Dec/SxZ6dA1rX0BpvgqDpA== |
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Summary Statistics: Min. NaN; Max. NaN; StDev NaN; Mean NaN; Valid 0.0 Variable Format: numeric Notes: UNF:6:vVDhLFXdo+5EPBy21xx7zw== |
f10531 Location: |
Summary Statistics: Max. NaN; Mean NaN; StDev NaN; Min. NaN; Valid 0.0 Variable Format: numeric Notes: UNF:6:vVDhLFXdo+5EPBy21xx7zw== |
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Variable Format: character Notes: UNF:6:P9NuZL7R+lyg9krvTZRxtA== |
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Variable Format: character Notes: UNF:6:VdiMqOMYv6DCBPb4czAt6Q== |
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Variable Format: character Notes: UNF:6:nRLkRT3W65m2MDZ0bq9TBg== |
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Variable Format: character Notes: UNF:6:jlISG9xwBB2PTIwWoKyXeg== |
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Variable Format: character Notes: UNF:6:QyaIAQM2n48Vxg0/CT3oNw== |
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Variable Format: character Notes: UNF:6:aMMFIRgNv9/ymM0d5RbnrA== |
f10534 Location: |
Variable Format: character Notes: UNF:6:90O+u8zl/QgGBNfRR5Woyw== |
f10534 Location: |
Variable Format: character Notes: UNF:6:vclpYtrbuPV0elUNUOIplg== |
f10534 Location: |
Variable Format: character Notes: UNF:6:AWqGU6KSwP8pOLQZGrpo+A== |
f10534 Location: |
Variable Format: character Notes: UNF:6:v3SlIt0gRtdNbJjU7TfWLw== |
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Variable Format: character Notes: UNF:6:LO7D3xVOOtzneFgEDdFpqg== |
f10534 Location: |
Variable Format: character Notes: UNF:6:qQdOVXgG61jVECAAp1d+Ww== |
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Summary Statistics: Min. NaN; Mean NaN; Valid 0.0; Max. NaN; StDev NaN; Variable Format: numeric Notes: UNF:6:p8oBJbk+GlaB1anClOw6Tg== |
f10534 Location: |
Summary Statistics: Mean NaN; Max. NaN; StDev NaN; Min. NaN; Valid 0.0 Variable Format: numeric Notes: UNF:6:p8oBJbk+GlaB1anClOw6Tg== |
f10536 Location: |
Summary Statistics: Valid 6899.0; Max. 251.0; StDev 69.65105673869776; Min. 3.0; Mean 127.03087403971594; Variable Format: numeric Notes: UNF:6:RbUkL8HYXNt9IzSBFZU/7Q== |
f10536 Location: |
Variable Format: character Notes: UNF:6:9oRRs9GcC4xPh4YDEqhczQ== |
f10536 Location: |
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Variable Format: character Notes: UNF:6:RG37N+TNzPdtD+c2Y2z6YA== |
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Variable Format: character Notes: UNF:6:n8Bkx/N968tn9Srk/cnmbQ== |
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Variable Format: character Notes: UNF:6:fi6ND/M+aklCvh/uM3Xz7w== |
f10536 Location: |
Variable Format: character Notes: UNF:6:jD3ZS8wCP4Jj6q0jc1aRFQ== |
f10536 Location: |
Variable Format: character Notes: UNF:6:NJLcLChNedyfMShk0NZReA== |
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Variable Format: character Notes: UNF:6:DvWAQkhzcbzXXylvG+pw5w== |
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Variable Format: character Notes: UNF:6:jPrerLU95B+uKifTXZbmVQ== |
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Variable Format: character Notes: UNF:6:kNfQNpT0LSCIGPmWX8nlQA== |
f10536 Location: |
Variable Format: character Notes: UNF:6:SY/PGwEoFW4Vsi6r8slIpA== |
f10536 Location: |
Summary Statistics: Min. 264.0; Mean 960.407692307694; Valid 4420.0; Max. 13085.0; StDev 1660.4037411704394 Variable Format: numeric Notes: UNF:6:ZsO6cGaP5M3fVqcJwupV+Q== |
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Variable Format: character Notes: UNF:6:AcyQ5W+9ImnjsDgqBemwGA== |
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Variable Format: character Notes: UNF:6:yzCW/nqud8PKMHOy+hGCLA== |
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Variable Format: character Notes: UNF:6:wadB9XlMBbEJLIulnA9RWQ== |
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Variable Format: character Notes: UNF:6:R0O4P6pIr4O04X3axQUvcw== |
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Variable Format: character Notes: UNF:6:RS8hve+UV83U69jxFAJO7A== |
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Variable Format: character Notes: UNF:6:O2QkC6DmyBOR1+vfBll60w== |
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Variable Format: character Notes: UNF:6:KQRCyaIx7+DZ/sK+6Wm0Ug== |
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Variable Format: character Notes: UNF:6:shoqkZIBqc8t3Sfr0EDRHQ== |
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Variable Format: character Notes: UNF:6:tbkWPfIAx/I1Afa5X9f5AA== |
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Variable Format: character Notes: UNF:6:RqhihpMLrzKs5xyAU95R0A== |
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Variable Format: character Notes: UNF:6:oGUXXPlJmznk5V9xplY1Dw== |
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Variable Format: character Notes: UNF:6:sncT5SMSDfWiJspY7XWLsg== |
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Variable Format: character Notes: UNF:6:xAckzEc68prF49/G/mk/oQ== |
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Variable Format: character Notes: UNF:6:ELNevXl0WWVM/oKHUXhHCg== |
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Variable Format: character Notes: UNF:6:TXHy4AX2Fo5jB1r6TZZh1Q== |
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Variable Format: character Notes: UNF:6:ZJzlk04shuwzERMjggCKVw== |
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Variable Format: character Notes: UNF:6:I/6cXXD/OhyJHj0ixNdGqw== |
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Variable Format: character Notes: UNF:6:6ujYvXd8vnkzexz5jbe8bg== |
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Variable Format: character Notes: UNF:6:aoXY0IHxmX0rSd496ICFUQ== |
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Variable Format: character Notes: UNF:6:2NKBWvHop5mqRYsseLr+Ng== |
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Variable Format: character Notes: UNF:6:RLeXP6REVm/ktvNAPay5qg== |
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Variable Format: character Notes: UNF:6:CEYTUMnQ6hHuRQH/xeinYA== |
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Variable Format: character Notes: UNF:6:EDw/OeV3/Zz8wsPpMa8V0A== |
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Variable Format: character Notes: UNF:6:7x8ATwLlNGHpk34DSN9IuQ== |
f10542 Location: |
Summary Statistics: Max. 251.0; Min. 3.0; StDev 69.6504002690178; Mean 127.0402898550744; Valid 6900.0 Variable Format: numeric Notes: UNF:6:3q83AjNit3q8R3Xal1+KcQ== |
f10542 Location: |
Variable Format: character Notes: UNF:6:7oWxuyZf7htn+dZ2+sxLTw== |
f10542 Location: |
Variable Format: character Notes: UNF:6:+vI+izt0RVhtkBlm5aU1xg== |
f10542 Location: |
Variable Format: character Notes: UNF:6:fvPoEWSwN3QuOK8yn9G/Ug== |
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Variable Format: character Notes: UNF:6:Qc6E40V2papZkk7LJe9nFg== |
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Variable Format: character Notes: UNF:6:f1HJAZXUSwir8ebUTydwyA== |
f10542 Location: |
Variable Format: character Notes: UNF:6:xqiwi5UTrmZSeaSiBIqy6A== |
f10542 Location: |
Variable Format: character Notes: UNF:6:tkoaKXliMAMJDZU5pUGLSA== |
f10542 Location: |
Variable Format: character Notes: UNF:6:976uy/RU+PQCGiVFaicT9Q== |
f10542 Location: |
Variable Format: character Notes: UNF:6:aTuhBrX94eTHcGELPoP8IQ== |
f10542 Location: |
Variable Format: character Notes: UNF:6:fThRXAM5P0f56oBqKsTllg== |
f10542 Location: |
Variable Format: character Notes: UNF:6:3Z0PwQpBWEapCU3b0P4evg== |
f10542 Location: |
Summary Statistics: Max. 13085.0; StDev 1655.5271202985664; Mean 958.6394027189573; Valid 4487.0; Min. 264.0 Variable Format: numeric Notes: UNF:6:6nG0Nd7nY8kztIqZnwYd1w== |
Label: |
00_README.txt |
Text: |
Description of the contents of all the files in the data set. |
Notes: |
text/plain |
Label: |
01_Database_PrefNu.csv |
Text: |
Database of Pref-Nu verbs (perfective verbs with a prefix and the semelfactive suffix -nu-) included in the study (CSV). |
Notes: |
text/csv |
Label: |
02_ExcludedVerbs.csv |
Text: |
Verbs in the corpus that were not included in the study (CSV). |
Notes: |
text/csv |
Label: |
03_Participles_Homonymy.csv |
Text: |
Annotated corpus examples of homonymous forms like tronut thatis a short past passive participle masculine form in the meaning ‘be touched’ or 3 person plural non-past form in the meaning ‘(they) will touch’ (CSV). |
Notes: |
text/csv |
Label: |
04_PRYGNUT.csv |
Text: |
Annotated corpus examples of the Only-Nu and Pref-Nu verbs in the cluster of prygnut’ ‘jump once’ (CSV). |
Notes: |
text/csv |
Label: |
05_XLOPNUT.csv |
Text: |
Annotated corpus examples of the Only-Nu and Pref-Nu verbs in the cluster of xlopnut’ ‘slam, bang, pop once’ (CSV). |
Notes: |
text/csv |
Label: |
06_KRIKNUT.csv |
Text: |
Annotated corpus examples of the Only-Nu and Pref-Nu verbs in the cluster of kriknut’ ‘shout once’ (CSV). |
Notes: |
text/csv |
Label: |
07_PrefDyads_Selection.csv |
Text: |
Token frequencies of Pref-Nu verbs in the study and their related Pref-Only verbs (CSV). Pref-dyads were selected for the study based on these token frequencies. |
Notes: |
text/csv |
Label: |
08_PrefDyads_Semantics.csv |
Text: |
Corpus examples for verbs in 20 Pref-dyads annotated with lexical meanings (CSV). |
Notes: |
text/csv |
Label: |
09_PERELISTNUT_PERELISTAT.csv |
Text: |
Annotated corpus examples of the Pref-dyad perelistnut’ - perelistat’ ‘flip page(s)’ (CSV). |
Notes: |
text/csv |
Label: |
10_PERETRJAXNUT_PERETRJASTI .csv |
Text: |
Annotated corpus examples of the Pref-dyad peretrjaxnut’ - peretrjasti’ ‘flip around, rummage through’ (CSV). |
Notes: |
text/csv |
Label: |
11_VYTRJAXNUT_VYTRJASTI .csv |
Text: |
Annotated corpus examples of the Pref-dyad vytrjaxnut’ - vytrjasti’ ‘shake out’ (CSV). |
Notes: |
text/csv |
Label: |
12_SLIZNUT_SLIZAT.csv |
Text: |
Annotated corpus examples of the Pref-dyad sliznut’ - slizat’ ‘lick off’ (CSV). |
Notes: |
text/csv |
Label: |
13_STRUXNUT_STRUSIT.csv |
Text: |
Annotated corpus examples of the Pref-dyad struxnut’ - strusit’ ‘act like a coward once’ (CSV). |
Notes: |
text/csv |
Label: |
14_UTKNUT_UTYKAT.csv |
Text: |
Annotated corpus examples of the Pref-dyad utknut’ - utykat’ ‘stick into (all over)’ (CSV). |
Notes: |
text/csv |
Label: |
15_VSKRIKNUT_VSKRIČAT.csv |
Text: |
Annotated corpus examples of the Pref-dyad vskriknut’ - vskričat’ ‘shout suddenly, exclaim’ (CSV). |
Notes: |
text/csv |
Label: |
16_ZAPIXNUT_ZAPIXAT.csv |
Text: |
Annotated corpus examples of the Pref-dyad zapixnut’ - zapixat’ ‘stuff into’ (CSV). |
Notes: |
text/csv |
Label: |
17_ZATOLKNUT_ZATOLKAT.csv |
Text: |
Annotated corpus examples of the Pref-dyad zatolknut’ - zatolkat’ ‘push into’ (CSV). |
Notes: |
text/csv |
Label: |
18_ExperimentResults_PrefDyads.csv |
Text: |
All acceptability scores recorded in the experiment for the Pref-dyads (CSV). |
Notes: |
text/csv |
Label: |
19_NuDyads_Semantics.csv |
Text: |
Corpus examples for verbs in the Nu-dyads in the experiment annotated with lexical meanings (CSV). |
Notes: |
text/csv |
Label: |
20_ExperimentResults_NuDyads.csv |
Text: |
All acceptability scores recorded in the experiment for the Nu-dyads (CSV). |
Notes: |
text/csv |
Label: |
20_ReadMe_ExperimentResults_NuDyads.txt |
Text: |
Description the contents in 20_ExperimentResults_NuDyads. |
Notes: |
text/plain |
Label: |
21_PlotData.txt |
Text: |
Dataset used to make the plot in Section 2.4 (shows connection between cluster size, token frequency of verb and semantic class). |
Notes: |
text/plain |
Label: |
21_PlotScript.R |
Text: |
R script used to make the plot in Section 2.4. |
Notes: |
type/x-r-syntax |