Project files:

DA\results:

1. Batch_3727145_batch_results.csv – original Mturk output csv.
2. filtered_results_with_zscores.csv – the filtered results with z-scores.
3. controls_df.csv – control sentences data only.
4. sentences_mistakes_scores.csv – sentences as a vector of NUCLE mistakes with z-scores.
5. sentences_mistakes_scores_errant.csv – sentences as a vector of ERRANT mistakes with z-scores.
6. mistakes_weights.csv – more statistic information about NUCLE weights.
7. mistakes_weights_errant.csv - more statistic information about ERRANT weights.
8. bootstrap.csv – 10,000 iterations bootstrap results
9. bootstrap_errant.csv - 10,000 iterations bootstrap results on ERRANT
10. ranks.csv - 10,000 iterations bootstrap mistakes ranking
11. ranks_errant.csv - 10,000 iterations bootstrap ERRANT mistakes ranking
12. graphs – graphs folder.

NUCLE\my_NUCLE_parser:

13. my_parser.py – this file parse NUCLE corpus into several databases (regular, perfect and control sentences), according to different filters that serves to create the MTurk csv file.

14. batchCreator.py – python script that write hard-coded JS script for MTurk

15. results_processing.py – main results processing file, including data filtering and re-formatting.

16. results_analysis.py – main results analysis file, create different data sets, and plot the results (imported to results_processing.py and being used by it).

NUCLE\to_Mturk:

17. c_sentences.csv, c_sentences.txt – project control sentences.

18. m_sentences.csv, m_sentences.txt – project mistake sentences – sentence that has been evaluated by one worker only.

19. p_sentences.csv, p_sentences.txt - project perfect sentences – sentences without mistakes.

20. mTurk_csv.csv – final csv to be uploaded to MTurk.