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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# corplingr <a href='https://gederajeg.github.io/corplingr/'><img src='man/figures/corplingr-logo.png' align="right" height="139" /></a>
<!-- badges: start -->
[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](http://www.repostatus.org/badges/latest/wip.svg)](http://www.repostatus.org/#wip)
[![R build status](https://github.com/gederajeg/corplingr/workflows/R-CMD-check/badge.svg)](https://github.com/gederajeg/corplingr/actions)
[![Codecov test coverage](https://codecov.io/gh/gederajeg/corplingr/branch/master/graph/badge.svg)](https://codecov.io/gh/gederajeg/corplingr?branch=master)
[![](https://img.shields.io/badge/doi-10.17605/OSF.IO/X8CW4-blue.svg)](https://doi.org/10.17605/OSF.IO/X8CW4)
<!-- badges: end -->
The goal of corplingr is to provide tools for generating concordance, collocates, and word-frequency list from raw/unannotated corpora. Users are suggested to use [collogetr](https://gederajeg.github.io/collogetr/) as the specific package for extracting window-span collocates based on input from the sentence-based corpus of [Indonesian Leipzig Corpora](https://corpora.uni-leipzig.de/en?corpusId=ind_mixed_2013) collection); corplingr so far provides tested functions to generate concordance/keyword in context (KWIC) display and frequency list from the sentence-based corpus of Leipzig Corpora.
## Installation
You can install the development version from [GitHub](https://github.com/) with [remotes](https://remotes.r-lib.org/):
``` r
# install.packages("remotes")
remotes::install_github("gederajeg/corplingr")
```
### How to cite
Please cite this repository as follows if you use it for your academic purposes (e.g., research or teaching):
> Rajeg, Gede Primahadi Wijaya. 2021. corplingr. *Open Science Framework* (OSF). doi: [10.17605/OSF.IO/X8CW4](https://doi.org/10.17605/OSF.IO/X8CW4) [osf.io/x8cw4](https://osf.io/x8cw4/).
More details later...