51 to 60 of 4,749 Results
Mar 14, 2025 -
Stand-out: A systematic review of the role of salience in second language acquisition
Comma Separated Values - 85.6 KB -
MD5: f36a4f0b39795488358aece5a4fcd74a
the full list of articles comprising the search results of our queries and their annotations after removing duplicates |
Mar 14, 2025 -
Stand-out: A systematic review of the role of salience in second language acquisition
Plain Text - 9.3 KB -
MD5: cf73d3d09d527f6c19836a45b1e4dcc1
a complete reference list of the included publications in APA format |
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 |
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... |
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... |
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... |
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. |
Mar 4, 2025 -
Replication Data for: Predicting Stress in Russian using Modern Machine-Learning Tools
Tab-Separated Values - 28.8 MB -
MD5: c9e042eacdc77d00682a08c4d3534846
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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... |
Plain Text - 6.6 KB -
MD5: 6f103a78f8cfea04f5608f9258cba7ad
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