Supplementary materials repository for A corpus-based study of constructional equivalence for the Indonesian translation of ROB and STEAL
by Gede Primahadi Wijaya Rajeg
The supplementary materials in this repository are licensed under
a
Creative
Commons Attribution-NonCommercial-ShareAlike 4.0 International
License.
The repository of RStudio project (Wickham & Grolemund 2017) and the supplementary materials (Rajeg 2021b) for a paper on the topic of constructional equivalence (Rajeg & Rajeg 2022) based on this research project (Rajeg et al. 2021b). The paper has been published #OpenAccess at PAROLE: Journal of Linguistics and Education:
Rajeg, Gede Primahadi Wijaya & I Made Rajeg. 2022. A corpus linguistic study of constructional equivalence for the Indonesian translation of ROB and STEAL based on the OpenSubtitles Parallel Corpus. PAROLE: Journal of Linguistics and Education 12(2). 28–48. https://ejournal.undip.ac.id/index.php/parole/article/view/43717
The paper also comes with an accompanying R package called paracorp (see Rajeg 2021a), which was designed to generate the parallel keyword in context display from the parallel corpus. A related paper to this one (written in Indonesian) focuses on the norm of Indonesian lexical equivalence for ROB and STEAL (see Rajeg et al. 2021a).
This GitHub repository is linked to the Open Science Framework.
-
The main, annotated parallel-concordance data are available under the name
ROB_sample_conc_main.tsv
andSTEAL_sample_conc_main.tsv
. They are tab-separated files that can be open in spreadsheet software. -
The R data file
freq-THEFT-verbs.rds
contain the raw frequency data for the word forms of the lemmas ROB and STEAL. -
The R codes for the analyses are included in the R Markdown Notebook file
gpwrajeg_2021_paper-r-notebook.Rmd
. This file also includes the in-line R codes to generate the statistics within the body-text of the paper. The following R packages are needed to run the R codes in the R Markdown Notebook:- the
tidyverse
suit of packages - the
RColorBrewer
package - the
vcd
package
- the
-
All figures in the paper are available in the
figs
folder.
devtools::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.1.3 (2022-03-10)
#> os macOS Monterey 12.6
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz Asia/Makassar
#> date 2022-12-09
#> pandoc 2.19.2 @ /Applications/RStudio.app/Contents/MacOS/quarto/bin/tools/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> brio 1.1.3 2021-11-30 [1] CRAN (R 4.1.1)
#> cachem 1.0.6 2021-08-19 [1] CRAN (R 4.1.1)
#> callr 3.7.0 2021-04-20 [1] CRAN (R 4.1.0)
#> cli 3.2.0 2022-02-14 [1] CRAN (R 4.1.1)
#> crayon 1.5.0 2022-02-14 [1] CRAN (R 4.1.1)
#> desc 1.4.1 2022-03-06 [1] CRAN (R 4.1.1)
#> devtools 2.4.3 2021-11-30 [1] CRAN (R 4.1.1)
#> digest 0.6.29 2021-12-01 [1] CRAN (R 4.1.1)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.0)
#> evaluate 0.15 2022-02-18 [1] CRAN (R 4.1.1)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.1.0)
#> fs 1.5.2 2021-12-08 [1] CRAN (R 4.1.1)
#> glue 1.6.2 2022-02-24 [1] CRAN (R 4.1.1)
#> htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.1.1)
#> knitr 1.37 2021-12-16 [1] CRAN (R 4.1.1)
#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.1)
#> magrittr 2.0.2 2022-01-26 [1] CRAN (R 4.1.1)
#> memoise 2.0.1 2021-11-26 [1] CRAN (R 4.1.1)
#> pkgbuild 1.3.1 2021-12-20 [1] CRAN (R 4.1.1)
#> pkgload 1.2.4 2021-11-30 [1] CRAN (R 4.1.1)
#> prettyunits 1.1.1 2020-01-24 [1] CRAN (R 4.1.0)
#> processx 3.5.2 2021-04-30 [1] CRAN (R 4.1.0)
#> ps 1.6.0 2021-02-28 [1] CRAN (R 4.1.0)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.1.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.1)
#> remotes 2.4.2 2021-11-30 [1] CRAN (R 4.1.1)
#> rlang 1.0.2 2022-03-04 [1] CRAN (R 4.1.1)
#> rmarkdown 2.13 2022-03-10 [1] CRAN (R 4.1.1)
#> rprojroot 2.0.2 2020-11-15 [1] CRAN (R 4.1.0)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.1.0)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.1.1)
#> stringi 1.7.6 2021-11-29 [1] CRAN (R 4.1.1)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.1.1)
#> testthat 3.1.3 2022-03-29 [1] CRAN (R 4.1.1)
#> usethis 2.1.5 2021-12-09 [1] CRAN (R 4.1.1)
#> withr 2.5.0 2022-03-03 [1] CRAN (R 4.1.1)
#> xfun 0.30 2022-03-02 [1] CRAN (R 4.1.1)
#> yaml 2.3.5 2022-02-21 [1] CRAN (R 4.1.1)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.1-arm64/Resources/library
#>
#> ──────────────────────────────────────────────────────────────────────────────
Rajeg, Gede Primahadi Wijaya. 2021a. Paracorp: A concordancer for parallel, bilingual corpora. R package v0.0.1. Bali, Indonesia: Universitas Udayana. doi:10.17605/OSF.IO/HV9CU. https://github.com/gederajeg/paracorp.
Rajeg, Gede Primahadi Wijaya. 2021b. Constructional equivalence in the Indonesian translations of ROB and STEAL. doi:10.17605/OSF.IO/PZC8Y. https://github.com/gederajeg/constructional-equivalence.
Rajeg, Gede Primahadi Wijaya & I Made Rajeg. 2022. A corpus linguistic study of constructional equivalence for the Indonesian translation of ROB and STEAL based on the OpenSubtitles Parallel Corpus. PAROLE: Journal of Linguistics and Education 12(2). 28–48. https://ejournal.undip.ac.id/index.php/parole/article/view/43717.
Rajeg, Gede Primahadi Wijaya, I Made Rajeg, Putu Dea Indah Kartini & I Gede Semara Dharma Putra. 2021a. Pemanfaatan Bank-Data Digital Dwibahasa dalam Kajian Terjemahan: Studi Kasus Padanan Bahasa Indonesia untuk Verba Sinonim Bahasa Inggris ROB & STEAL. Prosiding Seminar Nasional Sains dan Teknologi (SENASTEK) 2021, 0831–0835. Bali, Indonesia: Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Udayana. doi:10.6084/m9.figshare.17078369.
Rajeg, Gede Primahadi Wijaya, I Made Rajeg, Putu Dea Indah Kartini & I Gede Semara Dharma Putra. 2021b. Material pendukung untuk MODEL KAJIAN TERJEMAHAN BERBASIS BANK DATA TERJEMAHAN DIGITAL INGGRIS-INDONESIA DAN IMPLIKASI PEDAGOGISNYA. Open Science Framework. doi:10.17605/OSF.IO/Y6ESA. https://osf.io/y6esa/.
Wickham, Hadley & Garrett Grolemund. 2017. R for Data Science. Canada: O’Reilly. http://r4ds.had.co.nz/ (7 March, 2017).