2,971 to 2,980 of 4,544 Results
Adobe PDF - 165.7 KB -
MD5: 1a476fa14180bc9648b348f6172fa8c7
Test items for bidialectals (experiment 2) |
Adobe PDF - 376.6 KB -
MD5: 7e7391feb65c125d7d74149860940a43
Test items for monolinguals (experiment 1) |
Jun 13, 2019 -
Replication Data for: Two origins of the prefix IZ- and how they affect the VY- vs. IZ- correlation in Modern Russian.
Adobe PDF - 59.6 KB -
MD5: ec803c1ca8bbcc18fec6b0e9e0cce799
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Jun 13, 2019 -
Replication Data for: Two origins of the prefix IZ- and how they affect the VY- vs. IZ- correlation in Modern Russian.
Plain Text - 7.9 KB -
MD5: 7fb95b629f21346c2ccb7d0595d1e6d1
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Jun 13, 2019 -
Replication Data for: Two origins of the prefix IZ- and how they affect the VY- vs. IZ- correlation in Modern Russian.
Plain Text - 480.0 KB -
MD5: f4e746d3622792e117333c01f376fbfc
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Jun 13, 2019 -
Replication Data for: Two origins of the prefix IZ- and how they affect the VY- vs. IZ- correlation in Modern Russian.
MS Excel Spreadsheet - 345.9 KB -
MD5: b06587e9912f033a86c7512d27913321
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Jun 6, 2019 -
Replication data for: Chunking or predicting – frequency information and reduction in the perception of multi-word sequences
Plain Text - 8.3 KB -
MD5: ab842df2a5d9114643a2ce86c3130552
Description of the data sets |
Jun 6, 2019 -
Replication data for: Chunking or predicting – frequency information and reduction in the perception of multi-word sequences
Plain Text - 25.0 KB -
MD5: 59f0e6205722082c189644cf640b854b
mixed-effects generalized additive model (GAMM) for accuracy, and visualizations of the results |
Jun 6, 2019 -
Replication data for: Chunking or predicting – frequency information and reduction in the perception of multi-word sequences
R Data - 309.0 KB -
MD5: 5305268bb0abaf0d3a129ce48a983aa3
R data frames sall_results, sall_clean, sall_items, sall_target |
Jun 6, 2019 -
Replication data for: Chunking or predicting – frequency information and reduction in the perception of multi-word sequences
Plain Text - 30.6 KB -
MD5: a15ee576d24ea22b34c1ea5eabd5b971
mixed-effects generalized additive model (GAMM) for response times, and visualizations of the results |