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3,461 to 3,470 of 5,139 Results
jj04_20160531.TextGrid
Sep 22, 2016 - Data on Icelandic pre-aspiration
Unknown - 122.4 KB - MD5: e1fe1e26fce78e202c1a1c39875008ee
AnnotationData
jj04_20160531.wav
Sep 22, 2016 - Data on Icelandic pre-aspiration
Waveform Audio - 43.9 MB - MD5: 84e0303346c9e387f4fe5e3d8532e9e4
Data
ReadMe.txt
Sep 22, 2016 - Data on Icelandic pre-aspiration
Plain Text - 1.1 KB - MD5: a4c0182cbab1c94e90ce191b955c94be
Documentation
shg05_20160613.TextGrid
Sep 22, 2016 - Data on Icelandic pre-aspiration
Unknown - 124.5 KB - MD5: b702664b4c32934e1f29c356c9cc36f7
AnnotationData
shg05_20160613.wav
Sep 22, 2016 - Data on Icelandic pre-aspiration
Waveform Audio - 36.9 MB - MD5: a32fbfe86968f7b2a3fcd01034a3733f
Data
tt01_20160527.TextGrid
Sep 22, 2016 - Data on Icelandic pre-aspiration
Unknown - 135.8 KB - MD5: 5048c12bb9ed470d4f4eaa8bb552fad1
AnnotationData
tt01_20160527.wav
Sep 22, 2016 - Data on Icelandic pre-aspiration
Waveform Audio - 47.1 MB - MD5: 158e38eed342c9d08f51969f5535b277
Data
Replication Data for: Predicting Russian aspect by frequency across genres
Dec 3, 2017
Eckhoff, Hanne; Janda, Laura; Lyashevskaya, Olga Nikolayevna, 2017, "Replication Data for: Predicting Russian aspect by frequency across genres", https://doi.org/10.18710/BIIGT6, DataverseNO, V1, UNF:6:TCa0jCAvvGll3zm3uYltvg== [fileUNF]
We ask whether the aspect of individual verbs can be predicted based on the statistical distribution of their inflectional forms and how this is influenced by genre. To address these questions, we present an analysis of the “grammatical profiles” (relative frequency distributions of inflectional forms) of three samples of verbs extracted from the R...
00_readme_file.txt
Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres
Plain Text - 6.7 KB - MD5: 0056eb814b59e1a3745853fab85496a6
Documentation
ReadMe file for dataset, whith description of the individual files.
01journ.r
Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres
R Syntax - 2.9 KB - MD5: 93150fdfd7e47d969d9bdf99bc10005f
R script that analyses the data from the journalistic register (rus.journ.tab, original format csv).
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