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1,101 to 1,110 of 4,749 Results
Adobe PDF - 1014.4 KB - MD5: 1a66cef2b89c216a2761443ef3c4b3aa
Adobe PDF - 1.1 MB - MD5: ff7f0c688c8c0160584d8229ea97efea
Nov 2, 2023
Endresen, Anna; Janda, Laura Alexis; Zhukova, Valentina, 2023, "Replication Data for: Typology of reduplication in Russian: constructions within and beyond a single clause", https://doi.org/10.18710/CYLJCD, DataverseNO, V1
We analyze repetition in Russian from the perspective of the Russian Constructicon which represents over 2200 grammatical constructions described in terms of anchors (fixed elements) and slots (for various filler elements) and fully annotated for their syntactic and semantic char...
Plain Text - 9.2 KB - MD5: d47bc925a3afa29cb5d6d8a3ead7733c
This is a description of the dataset.
Comma Separated Values - 30.7 KB - MD5: e9aa07aa29e555e1b5aa6a5551f1511a
The dataset of Russian reduplicative constructions.
Oct 24, 2023
Sönning, Lukas, 2023, "Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data", https://doi.org/10.18710/5KCE4U, DataverseNO, V1
Dataset description This dataset, which is adapted from Jenset and McGillivray (2017), contains tabular files documenting the alternating usage of -(e)th and -(e)s to mark third-person verb inflection in Early Modern English. The data provided by Jenset and McGillivray (2017) are...
Plain Text - 12.1 KB - MD5: d2b604408fd1f1ffb99c28cfc66c3760
Documentation
Text file describing the dataset
Tab-Separated Values - 2.0 MB - MD5: ceca38119ea898d2bbb23c5dd5a32b41
Data
Tab-delimited data table containing the 11,645 annotated verb tokens
Unknown - 13.1 KB - MD5: 78c7f9528d13d6bb2bddc354e6e62a19
Code
R script documenting the data preparation steps
Sep 26, 2023
Nesset, Tore; Xavier, Kevin, 2023, "Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’", https://doi.org/10.18710/ZCDX1B, DataverseNO, V1
The present study reports on a machine learning experiment concerning mobile vowels in the Russian preposition v ‘in(to)’. Data are extracted from the Russian National Corpus. It is shown that a neural network is able to predict mobile vowels in 97.4% of the cases in our dataset,...
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