4,351 to 4,360 of 4,518 Results
Plain Text - 19.2 KB -
MD5: d6b2e91b351a27929128d10599e1e468
From input french_de_grepped.txt, creates output french_de_collated.txt. Used in Step 3 as outlined in introduction to HTML/Rmd file. |
Plain Text - 17.7 MB -
MD5: e4edbf552b4c8d0c5b9aff493319c7c0
Output of python script that collates relevant lines from Google n-grams corpus. Second file in data pipeline. Output of Step 3 as outlined in introduction of HTML/Rmd file. |
Plain Text - 873.8 MB -
MD5: 6423563afeeba4ac933536306a7b4066
Relevant lines extracted from Google n-grams file. First processed file in pipeline. Output of Step 2 as outlined in introduction of HMTL/Rmd file. |
Plain Text - 20.2 MB -
MD5: d75f2c12d2724c92851034945a7863ca
Result of applying hand-coding (with criteria described in HTML/Rmd file) to french_de_collated.txt. Third file in data pipeline. Output of Step 4 as outlined in introduction of HTML/Rmd file. |
Plain Text - 28.7 MB -
MD5: 9d0cda40c9400e85fbe3be73e5860009
Result of automatically applying close inferences to french_de_handcoded.txt. Fourth file in data pipeline. Output of step 5 as outlined in introduction of HTML/Rmd file. |
Plain Text - 28.7 MB -
MD5: fa42be340252421dee09069395df0c7f
Result of applying further automatic inferences to french_de_inferences.txt. Fifth and final file in data pipeline. All analysis done in R script after this occurs without writing to a new data file. Output of Step 6 as outlined in introduction of HTML/Rmd file. |
HTML - 1.5 MB -
MD5: 3559b4c0a39990c07b5b33ee6e65a7ce
HTML-format guide to reproducing the study. Includes narrative, R code, and R output and figures. |
Plain Text - 66.6 KB -
MD5: 2c239ac2376c451214534e597e3e9336
Rmd-format file that generates the HTML file. Includes narrative and R code. Open this file in RStudio and use knitr() to re-create HTML file. |
Dec 6, 2014 -
Replication data for: Verbal constructional profiles: reliability, distinction power and practical applications
Plain Text - 221 B -
MD5: db7110da3d93f3f7cd60b3198feaa25c
Results of the aspect identification test. Profile type: partly enriched; annotation scheme: PROIEL. First column: frequency cutoff, second column: success rate; third column: number of verbs. Encoding: UTF-8 without BOM; cell separator: comma; decimal separator: dot. |
Dec 6, 2014 -
Replication data for: Verbal constructional profiles: reliability, distinction power and practical applications
Plain Text - 10.7 KB -
MD5: ded221f25f2dbe2f582c3134d268071a
Ruby script which performs the aspect experiments (aspect identification, partner matching). Run the script by typing "ruby stability.rb" in the command line (Ruby 1.9.3 or compatible has to be installed on your machine, the frames files have to be in the same directory. See mor... |