The description of the three cloze tasks can be found in the paper "Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data" (https://psyarxiv.com/2atrh/)
## First cloze task:
The first cloze task truncates sentences before a determiner and was used as a pilot to build the stimuli.
* `01_process_first_cloze.R`: process the results of the first cloze task and produces the following files:
* `dcloze_all.tsv`: cloze probabilities of all the possible noun continuations
* `the_items.tsv`: potential items for the next cloze task, so that we maximize the range of cloze and constraint/
## Second cloze task
The second cloze task truncates sentences also before a determiner and was used to calculate gender probability of the truncated sentences: 383 of the sentences were used in the experiment
* `02_process_second_cloze.R`: process the results of the second cloze task and produces the following file:
* `data_second_cloze_auto.tsv`: File with the potential items and with automatic spelling corrections, frequency of stemwords, frequency of genders.
* `answers_annotated_before_det.tsv`: manual correction of `data_second_cloze_auto.tsv` file
## Third cloze task
This cloze task uses the actual stimuli from the EEG experiment truncated before the noun, and after a gender inflected determiner and adjective: it was used to calculate the cloze probability of the nouns
* `03_process_third_cloze.R`: process the results of the third cloze task and produces the following file:
* `dcloze_third_auto.tsv`: File with the potential items and with automatic spelling corrections, frequency of stemwords, frequency of genders.
* `answers_annotated_before_noun.tsv`: manual correction of `data_second_cloze_auto.tsv` file
```
> sessionInfo()
R version 3.6.0 (2019-04-26)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.1 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=de_DE.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=de_DE.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=de_DE.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] cleanNLP_3.0.2 hunspell_3.0 magrittr_1.5 tidyr_0.8.3
[5] readxl_1.3.1 readr_1.3.1 eeguana_0.1.1.9000 purrr_0.3.2
[9] ggplot2_3.2.1 stringr_1.4.0 dplyr_0.8.3 osfr_0.2.4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.2 cellranger_1.1.0 pillar_1.4.1 compiler_3.6.0
[5] tools_3.6.0 zeallot_0.1.0 jsonlite_1.6 tibble_2.1.3
[9] gtable_0.3.0 pkgconfig_2.0.2 rlang_0.4.0 cli_1.1.0
[13] crul_0.7.4 curl_4.2 withr_2.1.2 hms_0.4.2
[17] fs_1.3.1 vctrs_0.1.0 triebeard_0.3.0 grid_3.6.0
[21] tidyselect_0.2.5 data.table_1.12.6 glue_1.3.1 httpcode_0.2.0
[25] R6_2.4.0 fansi_0.4.0 urltools_1.7.3 backports_1.1.4
[29] scales_1.0.0 assertthat_0.2.1 mime_0.7 colorspace_1.4-1
[33] utf8_1.1.4 stringi_1.4.3 lazyeval_0.2.2 munsell_0.5.0
[37] crayon_1.3.4
```
