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31 to 40 of 4,727 Results

03_Included_Publication_Annotations.csv Mar 14, 2025 - Stand-out: A systematic review of the role of salience in second language acquisition Comma Separated Values - 6.3 KB - MD5: f71046a5625d781748ee860be68e9516 the primary annotation file, where rows are delineated by each salience manifestation variable
04_Methods_Expanded.csv Mar 14, 2025 - Stand-out: A systematic review of the role of salience in second language acquisition Comma Separated Values - 13.9 KB - MD5: 3a8f7698a1be3bf32c29fc7231afd79a A secondary annotation file for cross-tabulation of studies' methodological information. The same data from Included_Publication_Annotations are included in the first nine columns, with four added columns for annotations of each study's methodolog(y/ies), and delineated as one ro...
05_Additional_Variables_Expanded.csv Mar 14, 2025 - Stand-out: A systematic review of the role of salience in second language acquisition Comma Separated Values - 9.9 KB - MD5: 24dc62690a947d7e847e1de7fb0cbb70 A secondary annotation file for cross-tabulation of studies' additional variables. The same data from Included_Publication_Annotations are included in the first nine columns, with three added columns for annotations of each study's additional variables, and delineated as one row...
Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools Mar 4, 2025 Schriner, John, 2025, "Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools", https://doi.org/10.18710/AAFCJP, DataverseNO, V1 This dataset consists of a TSV file with five columns of data originating in Zaliznyak's Grammar and Dictionary (1977). The data was programmatically scraped from Giella project data (Moshagen et al., 2013) by Spektor (2021). From Spektor (2021), the data was one of four sources...
00_README_Schriner-2022-RU_Zaliznyak.txt Mar 4, 2025 - Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools Plain Text - 7.1 KB - MD5: ef269e39450a757f3002582f49e846aa A description of the dataset and file using the DataverseNO template v2.4.
Schriner-2022-RU_Zaliznyak.tsv Mar 4, 2025 - Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools Tab-Separated Values - 28.8 MB - MD5: c9e042eacdc77d00682a08c4d3534846
Replication Data for: Defective verbs in Portuguese: a morphomic approach Feb 26, 2025 O'Neill, Paul, 2025, "Replication Data for: Defective verbs in Portuguese: a morphomic approach", https://doi.org/10.18710/TVYCZL, DataverseNO, V1 This data is used in an article which provides evidence via corpus data and statistical methods that defective verbs in Portuguese constitute a psychological reality for speakers. It looks at the different explanations for defective verbs in Portuguese and argues that the morphom...
00_README.txt Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach Plain Text - 6.6 KB - MD5: 6f103a78f8cfea04f5608f9258cba7ad
A_lexemes_used_for_regression_model.csv Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach Comma Separated Values - 2.7 KB - MD5: 1dc1ff2562a9cafcd733cc28f75734ca see README file
B_defective_verbs_frequency_counts.csv Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach Comma Separated Values - 674 B - MD5: e12371df20ed91efd1bdb615943291c6 see README file

03_Included_Publication_Annotations.csv

Mar 14, 2025 - Stand-out: A systematic review of the role of salience in second language acquisition

Comma Separated Values - 6.3 KB -

the primary annotation file, where rows are delineated by each salience manifestation variable

04_Methods_Expanded.csv

Mar 14, 2025 - Stand-out: A systematic review of the role of salience in second language acquisition

Comma Separated Values - 13.9 KB -

A secondary annotation file for cross-tabulation of studies' methodological information. The same data from Included_Publication_Annotations are included in the first nine columns, with four added columns for annotations of each study's methodolog(y/ies), and delineated as one ro...

05_Additional_Variables_Expanded.csv

Mar 14, 2025 - Stand-out: A systematic review of the role of salience in second language acquisition

Comma Separated Values - 9.9 KB -

A secondary annotation file for cross-tabulation of studies' additional variables. The same data from Included_Publication_Annotations are included in the first nine columns, with three added columns for annotations of each study's additional variables, and delineated as one row...

Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools

Mar 4, 2025

Schriner, John, 2025, "Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools", https://doi.org/10.18710/AAFCJP, DataverseNO, V1

This dataset consists of a TSV file with five columns of data originating in Zaliznyak's Grammar and Dictionary (1977). The data was programmatically scraped from Giella project data (Moshagen et al., 2013) by Spektor (2021). From Spektor (2021), the data was one of four sources...

00_README_Schriner-2022-RU_Zaliznyak.txt

Mar 4, 2025 - Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools

Plain Text - 7.1 KB -

A description of the dataset and file using the DataverseNO template v2.4.

Schriner-2022-RU_Zaliznyak.tsv

Mar 4, 2025 - Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools

Tab-Separated Values - 28.8 MB -

Replication Data for: Defective verbs in Portuguese: a morphomic approach

Feb 26, 2025

O'Neill, Paul, 2025, "Replication Data for: Defective verbs in Portuguese: a morphomic approach", https://doi.org/10.18710/TVYCZL, DataverseNO, V1

This data is used in an article which provides evidence via corpus data and statistical methods that defective verbs in Portuguese constitute a psychological reality for speakers. It looks at the different explanations for defective verbs in Portuguese and argues that the morphom...

00_README.txt

Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach

Plain Text - 6.6 KB -

A_lexemes_used_for_regression_model.csv

Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach

Comma Separated Values - 2.7 KB -

see README file

B_defective_verbs_frequency_counts.csv

Feb 26, 2025 - Replication Data for: Defective verbs in Portuguese: a morphomic approach

Comma Separated Values - 674 B -

see README file

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