Data

Working with a linguistic corpus using R: An introductory note with Indonesian Negating Construction

Monash University
Gede Primahadi Wijaya Rajeg (Aggregated by) I Made Rajeg (Aggregated by) Karlina Denistia (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/03/5a7ee2ac84303&rft.title=Working with a linguistic corpus using R: An introductory note with Indonesian Negating Construction&rft.identifier=https://doi.org/10.4225/03/5a7ee2ac84303&rft.publisher=Monash University&rft.description=This is a repository for codes and datasets for the open-access paper in Linguistik Indonesia, the flagship journal for the Linguistic Society of Indonesia (Masyarakat Linguistik Indonesia [MLI]) (cf. the link in the references below).To cite the paper (in APA 6th style):Rajeg, G. P. W., Denistia, K., & Rajeg, I. M. (2018). Working with a linguistic corpus using R: An introductory note with Indonesian negating construction. Linguistik Indonesia, 36(1), 1–36. doi: 10.26499/li.v36i1.71To cite this repository:Click on the Cite (dark-pink button on the top-left) and select the citation style through the dropdown button (default style is Datacite option (right-hand side)This repository consists of the following files:1. Source R Markdown Notebook (.Rmd file) used to write the paper and containing the R codes to generate the analyses in the paper.2. Tutorial to download the Leipzig Corpus file used in the paper. It is freely available on the Leipzig Corpora Collection Download page.3. Accompanying datasets as images and .rds format so that all code-chunks in the R Markdown file can be run.4. BibLaTeX and .csl files for the referencing and bibliography (with APA 6th style). 5. A snippet of the R session info after running all codes in the R Markdown file.6. RStudio project file (.Rproj). Double click on this file to open an RStudio session associated with the content of this repository. See here and here for details on Project-based workflow in RStudio.7. A .docx template file following the basic stylesheet for Linguistik IndonesiaPut all these files in the same folder (including the downloaded Leipzig corpus file)!To render the R Markdown into MS Word document, we use the bookdown R package (Xie, 2018). Make sure this package is installed in R.Yihui Xie (2018). bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.6.&rft.creator=Gede Primahadi Wijaya Rajeg&rft.creator=Gede Primahadi Wijaya Rajeg&rft.creator=I Made Rajeg&rft.creator=I Made Rajeg&rft.creator=Karlina Denistia&rft.creator=Karlina Denistia&rft.date=2019&rft_rights=CC-BY-NC-SA-4.0&rft_subject=R programming language&rft_subject=Indonesian linguistics&rft_subject=Indonesian&rft_subject=Corpus Linguistics&rft_subject=quantitative corpus linguistics&rft_subject=collostructional analysis&rft_subject=Distinctive Collexeme Analysis&rft_subject=Negating Construction&rft_subject=data science skills&rft_subject=Reproducible research&rft_subject=Open Access Resource&rft_subject=Indonesian language&rft_subject=R Markdown&rft_subject=RStudio&rft_subject=Leipzig Corpora&rft_subject=bookdown&rft_subject=Statistics&rft_subject=Digital Humanities&rft_subject=Linguistics&rft_subject=Programming Languages&rft_subject=Data Communications&rft_subject=Indonesian Languages&rft_subject=Language Studies not elsewhere classified&rft_subject=Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics)&rft_subject=Computational Linguistics&rft_subject=Linguistics not elsewhere classified&rft.type=dataset&rft.language=English Access the data
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This is a repository for codes and datasets for the open-access paper in Linguistik Indonesia, the flagship journal for the Linguistic Society of Indonesia (Masyarakat Linguistik Indonesia [MLI]) (cf. the link in the references below).

To cite the paper (in APA 6th style):

Rajeg, G. P. W., Denistia, K., & Rajeg, I. M. (2018). Working with a linguistic corpus using R: An introductory note with Indonesian negating construction. Linguistik Indonesia, 36(1), 1–36. doi: 10.26499/li.v36i1.71


To cite this repository:
Click on the Cite (dark-pink button on the top-left) and select the citation style through the dropdown button (default style is Datacite option (right-hand side)

This repository consists of the following files:
1. Source R Markdown Notebook (.Rmd file) used to write the paper and containing the R codes to generate the analyses in the paper.
2. Tutorial to download the Leipzig Corpus file used in the paper. It is freely available on the Leipzig Corpora Collection Download page.
3. Accompanying datasets as images and .rds format so that all code-chunks in the R Markdown file can be run.
4. BibLaTeX and .csl files for the referencing and bibliography (with APA 6th style).
5. A snippet of the R session info after running all codes in the R Markdown file.
6. RStudio project file (.Rproj). Double click on this file to open an RStudio session associated with the content of this repository. See here and here for details on Project-based workflow in RStudio.
7. A .docx template file following the basic stylesheet for Linguistik Indonesia

Put all these files in the same folder (including the downloaded Leipzig corpus file)!

To render the R Markdown into MS Word document, we use the bookdown R package (Xie, 2018). Make sure this package is installed in R.

Yihui Xie (2018). bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.6.


Issued: 2018-03-19

Created: 2018-04-06

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Subjects
Computational Linguistics | Corpus Linguistics | Data Communications | Digital Humanities | Distinctive Collexeme Analysis | Indonesian | Indonesian Languages | Indonesian language | Indonesian linguistics | Language Studies not elsewhere classified | Leipzig Corpora | Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics) | Linguistics | Linguistics not elsewhere classified | Negating Construction | Open Access Resource | Programming Languages | R Markdown | R programming language | RStudio | Reproducible research | Statistics | bookdown | collostructional analysis | data science skills | quantitative corpus linguistics |

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