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1,081 to 1,090 of 4,721 Results

data_jenset_mcgillivray_downsampling.tsv Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data Tab-Separated Values - 2.0 MB - MD5: ceca38119ea898d2bbb23c5dd5a32b41 Data Tab-delimited data table containing the 11,645 annotated verb tokens
script_data_preparation.qmd Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data Unknown - 13.1 KB - MD5: 78c7f9528d13d6bb2bddc354e6e62a19 Code R script documenting the data preparation steps
Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’ 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,...
dataset.csv Sep 26, 2023 - Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’ Comma Separated Values - 4.5 MB - MD5: d467ff9bc56d8ff852f7245e603c106b Database of mobile vowels (Russian preposition v/vo)
dataset_readme.txt Sep 26, 2023 - Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’ Plain Text - 5.1 KB - MD5: 74687b1733fd22176837f3773c06566d Information about the database
Sources and Targets in Kuteva et al. 2019 Sep 15, 2023 Janda, Laura Alexis, 2023, "Sources and Targets in Kuteva et al. 2019", https://doi.org/10.18710/FYFNFV, DataverseNO, V1 This dataset is based on examples found in Kuteva et al. 2019: Kuteva, Tania, Bernd Heine, Bo Hong, Haiping Long, Heiko Narrog, and Seongha Rhee. 2019. World Lexicon of Gramaticalization (2nd ed.). Cambridge: Cambridge University Press. Kuteva et al.’s World Lexicon of Grammatica...
00_README.txt Sep 15, 2023 - Sources and Targets in Kuteva et al. 2019 Plain Text - 3.8 KB - MD5: 338f651f83f32d245ce2b6b38fa65900 This is the README file.
01_Data.txt Sep 15, 2023 - Sources and Targets in Kuteva et al. 2019 Plain Text - 5.3 KB - MD5: 357a37f43a0a5f74c4754481fcff1f38 This is the data.
Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula Sep 1, 2023 Janda, Laura Alexis, 2023, "Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula", https://doi.org/10.18710/XKDBLF, DataverseNO, V1 Description of Dataset This is a study of examples of Russian predicate adjectives in clauses with zero-copula present tense, where the adjective is a short form (SF) or a long form nominative (LF). The data was collected in 2022 from SynTagRus (https://universaldependencies.org/...
01README.txt Sep 1, 2023 - Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula Plain Text - 7.0 KB - MD5: 0ea581e1460a4efb6bff66a2112c283a README file

data_jenset_mcgillivray_downsampling.tsv

Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data

Tab-Separated Values - 2.0 MB -

Data

Tab-delimited data table containing the 11,645 annotated verb tokens

script_data_preparation.qmd

Oct 24, 2023 - Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data

Unknown - 13.1 KB -

Code

R script documenting the data preparation steps

Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’

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,...

dataset.csv

Sep 26, 2023 - Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’

Comma Separated Values - 4.5 MB -

Database of mobile vowels (Russian preposition v/vo)

dataset_readme.txt

Sep 26, 2023 - Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’

Plain Text - 5.1 KB -

Information about the database

Sources and Targets in Kuteva et al. 2019

Sep 15, 2023

Janda, Laura Alexis, 2023, "Sources and Targets in Kuteva et al. 2019", https://doi.org/10.18710/FYFNFV, DataverseNO, V1

This dataset is based on examples found in Kuteva et al. 2019: Kuteva, Tania, Bernd Heine, Bo Hong, Haiping Long, Heiko Narrog, and Seongha Rhee. 2019. World Lexicon of Gramaticalization (2nd ed.). Cambridge: Cambridge University Press. Kuteva et al.’s World Lexicon of Grammatica...

00_README.txt

Sep 15, 2023 - Sources and Targets in Kuteva et al. 2019

Plain Text - 3.8 KB -

This is the README file.

01_Data.txt

Sep 15, 2023 - Sources and Targets in Kuteva et al. 2019

Plain Text - 5.3 KB -

This is the data.

Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula

Sep 1, 2023

Janda, Laura Alexis, 2023, "Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula", https://doi.org/10.18710/XKDBLF, DataverseNO, V1

Description of Dataset This is a study of examples of Russian predicate adjectives in clauses with zero-copula present tense, where the adjective is a short form (SF) or a long form nominative (LF). The data was collected in 2022 from SynTagRus (https://universaldependencies.org/...

01README.txt

Sep 1, 2023 - Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula

Plain Text - 7.0 KB -

README file

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