applicative-buy

R Notebook and Dataset for a corpus-based study of Indonesian BUY verbs in applicative construction with -KAN (published in NUSA special issue on Applicative Construction). R notebook below 👇.

https://github.com/gederajeg/applicative-buy

Science Score: 57.0%

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Keywords

applicative applicative-construction applicative-morphology argument-realisation argument-structure buy-verb construction-grammar corpus-linguistics indonesian-language indonesian-linguistics konstruksi-aplikatif-bahasa-indonesia linguistik-korpus quantitative-corpus-linguistics usage-based-construction-grammar usage-based-linguistics usage-based-theory
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R Notebook and Dataset for a corpus-based study of Indonesian BUY verbs in applicative construction with -KAN (published in NUSA special issue on Applicative Construction). R notebook below 👇.

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Topics
applicative applicative-construction applicative-morphology argument-realisation argument-structure buy-verb construction-grammar corpus-linguistics indonesian-language indonesian-linguistics konstruksi-aplikatif-bahasa-indonesia linguistik-korpus quantitative-corpus-linguistics usage-based-construction-grammar usage-based-linguistics usage-based-theory
Created almost 3 years ago · Last pushed over 2 years ago
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README.Rmd

---
output: github_document
title: 'R Notebook and Dataset for "Usage-based perspective on argument realisation: A corpus study of Indonesian BUY verbs in applicative construction with -*kan*"'
author: '[Gede Primahadi Wijaya Rajeg](https://www.ling-phil.ox.ac.uk/people/gede-rajeg) ORCID iD icon & [I Wayan Arka](https://researchers.anu.edu.au/researchers/arka-iww) ORCID iD icon'
bibliography: "zotero.bib"
link-citations: yes
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```


Creative Commons License [![DOI](https://img.shields.io/badge/doi-10.6084/m9.figshare.23612631-blue.svg?style=flat&labelColor=gainsboro&logoWidth=40&logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAAFAAAAAZCAYAAACmRqkJAAAKi0lEQVR4Ae3ZaVBUV97H8evuE0EfH32MmkcfoyAuGjXKgkvMaFRAFuiloemWvRuEXlgEBREXBYJiXAQUFeKocUniQiKogAJhQWwWENDEjLNYvjFLzUzNkplEZb5kTme6nCRjKlOpSZlb9SmL2%2Ffcuv3re87%2FnKP0TYfOcslqPMbt63xBKuh09MTxgi7HKT1Sj1TvKp%2BMkZB6%2FXT8c4AjUYPyVdfb7Qs6HTIJ8EHe7Ul%2B152CphDabRQ0uMr7%2FRQgh%2B8qU6%2FBiPDVGv0jq0uGE94b0ZZ3j%2B25MTetoMsh%2FWD91OBqT9%2Fsehd5EqGV17nKMzTqOHvaRMMLEp7qACfinq%2FW1BBx5ZxB13x5X3Jr1v%2Fz9pUcaHU63PiicjrhvXfNRbY1Th49Q6Y1vu6zyqSjzX3aVIgf4OkKToxhgxpd5OMzV0bYE4CRN1Chu34pnTfwnV03FiTlfzDRXBHo6dfgIq8sX6ByV6vjthGc0UdrrPPVGFQBxlSjzJQWENVUZkebceiLpyM8IZSx7O7Zl4JivUNMZX5h8Rt4%2B2L0llKfgu6JKa%2BXvpB5bZ48%2Ba3F6lil2pDkE2rODzCsU0VUnNFHNZQqdS3lx3Utl%2FMILQcfYt5TEeC1GSprgAq0XlgYGLQyxJTlr0uK0DVX7E5s2ZtOgHvLw5fLK9xVmcqguEj%2F2LXbwsvPBkZZKl4j5NcIKinaUsLbejFWZ7m8Do2cmwnb4cFqArRwx3TEYzi%2Bz7DTD0uhxnj8cAEWWUZK%2BTcdhh4pmTWUsW01Y1uCUmNY7Rtqzo5svJSS0poVXtg6yVj7sn9qunek3j8xPVXXeMFoaDkev6lDF7ene7Y5r2taNAXmEBXaP69zevaOjuUeeZ0zhzJuPsM5CdYvOhZVqBMhBqIVDt8zwGdQjR4of9AA%2BXJjUFpww7GodnHAQca4srDAWCXjW3pETal%2BbfumuOLKqSm17vIQtWr1Uu3JYy6JbXuXFbRN1R8pm5byxtG5CcdOz9EUVc7I5IeQEWQ7wWVwzwrsRn%2BbAFeiCxNsKv5Y9P03BFgjAlT90AGOQy2T47fObl00ocFZHl%2B2UGXw0RjzNUWHTPFthckHWh18al8KsGuaFigVVzlKuY%2BG9z37qvuoGlelpsJVldrgrFjbOE%2BeWe8uW18W84qCqc4s7tmCIgzI75hs%2FaJKNFu7rF%2BIIIhr%2BmIQ%2Btn8LQkDMQOeWAYnDHgsQI3NNU7W9j4h5t72o%2FEyvLEQ%2F%2Bu7ymzbOxbCAeOxAgtghz6YgOVYiufEOUlqu0M37ho%2BYn%2FnpJT8bsejVSt90uqdFdlGmV7hF7cuWXetNCShLX%2BI3nKhN%2ByvCs%2Bs6GQpWB33fzKNQR%2BqWr022yvc94q7spBCY%2Bbzkou6ZfJNPf89ZN%2FdidYHnIsKfIzjCMIc7MAwSJiMPFxGMcKQixGwx07R%2FiEe4CNsxFCbAJvwifj8LkIgYRHa8Lm47jNY8AokmMS5NryPh%2FijOB%2BOX4h7foEuyPHlisMtylJpzu1YspkQ36YbLqnx8F1X4abaqmYs9DGmLlrk4CE9XlHlKZskxfpt%2FUJLzyhV23dG%2BITF72fqo9njEaokwIu8lSbG1N4wx273CrP%2B%2BjniQVZhGrzQjlEioFIRcjDM6MIdjBVtHogvl4W9qIX8sTfwU5SgU%2FzdhdGYLcJ9BzvRID6vgx2SxN8PUI9KnIEWH4n7FuIo%2FoRfYV5vMMV4wHRFs%2BvG%2FKl05ZrDVdP11T7eulK3oNQcz%2FAXcj3DpMePjO44KetDL2lDh%2FmV1S3nNoeWnJb7RSXmMJl%2BI0GmH13rKs8lvEdQwfoWKmCxdmGbAEdgAW5jFiQhBb8WXSYTPSjGCBHaMPR5LMANkOCM%2B%2FgD3MS5Z8W1ElzwW3HNJCSI9tcw2ub%2BO8T5LPTBQBy1nusNcB7ztximI1sIsSSzXb04v3vyusJmx63nMufHXlV6LvpEShDd9x%2FHFYWXVPuSX7%2FD7zmpcjuWRupbyvaHnj8Z7BNsUFCArm70iTRcd5bFEN7oxwJs%2FpoA%2FwfBaLJ2Z2EFbmEsNKL7fYYPUI9DIqj%2Fsgkw0CasW%2BL6RbBDFI7gTZSKzz6Gk02AJ23G3QF4xybYU8INce6s5CJNlTyXhYwKv%2FRWMiEeimquzIhrPpGzuSNCsbvLec2%2Brpmh2e0yu%2FxOp96wv6p8X0xeIZW5Bo2%2F6ucdvb%2FdMWVDm8lX11pRpD16OJ6VyZsrQ8yK%2BVFJ9h4UhwEHDj5JgGE23UkSfoZujMMzSESNCPBT9KAFjqi2rcIYZRPgYmzDQ9xDLSz4%2FGsCPIE%2BNkWrTJy%2FhRrRthpVyJJExbnmG2I%2B6x%2BT%2FHxYyQkzQfJGlufpWy6bYlvPUEgu%2BHlHJA5boo7rE3blnBR7r6mv%2BvCBMYEag%2Faqsyr1%2BIk5a%2Fd2z9zGBDpZ31qulCWk9443Hfg5BuJJAgxAG0ZBEmS4DZ7RKIliMVi0d8UvRUCeuPoNAf4Z%2FmgV13pAwiwR3iffFKBQJM5noB%2F6Y5h45v7Wwf0cDtD1DlMIeiugWmZOy5Cv3RgjX7%2FF4GdMXasOjgurmqdafqpojltml9IjvOJ8NMu9lNL5gQmXdMu0BTefz8loMyoJvivs3VMZvhpjqaig%2FZ8gwJGYIsIKRh%2FY4wh%2Bg%2FGQoxYbREgZ%2BB3uww1V3xKgN%2BrwCNtF4Pvx8NveQCEYX%2BAukhCIYuHZLy%2FyDjHbJQfo7PTK1dEBWqPBX2vS%2B2hNW1XquDURypiwXStCjVWuyrSKQC%2FdoUaHtOT2HENoyal4b40x7rK7ylip9NIV3Jy0P6fD24fl3Ra6uoe3PNqOH2Pw3x%2FC8K8CHIU%2BIpQ7OI8yNOJ9TMJO%2FAU9Nn6PjRiGmm%2FpwgsRLQpKjwjuU%2Fz1CQK0R4G4T4%2FwCHWYKlmcA6xr4SA2EzobXeUa9vh21LgpdKxK8hqd5RsaXWS7S9YvlhU2O7ya3ekXrm%2B9lK3KzFH6a4y5V92Ve5hkM4d02EShMestZekE2IxZX7MWdkAgBtmsi9U2lXEwliAOK%2BGLTowThWIZkrEVSSKYgegPOUxwtFmdaBGLsRgg2qeKtosQDh2GYzbisUIEaPvcQ8T5VGzCKowBk2I3mTVALe4wd4tumKcoaZirSKte4RtVrvXwLrw%2BJXV%2F18Ts3BtLEmOaS0yRtRdMfpGJhTKNMbDJWR5V7eEbUNDtcIQAd1PJMwnuJl6E9KQHY7AAHkzQoBkj8B%2B%2FpTWQ4Maezne1P3x1esLBuqmB%2BbccNhJMGetbM%2BGZIi1V%2FoRyOXB77sKVWuPmrd4RBvYQm9ihVue%2F7xDPGljB50MoJmO%2By36gCGsQovCyCGwOarD9R7PLLXZOJjKZvse%2FDQQSvffG7F1rWrZPiLKUX2DPr1hbfHAKb0kDBSeTed5MQj94Pn1xBMvA%2B2IDYTAkcXzXANPRjHq04ACeFeH9aAIcBC3LOq%2FY5pPDeYtO4yRTmzUhbx9LozCEea8ybaHoxDNmVtPltxSVzxhCm3Asg4Tvs683Aa5wwkD8qP9XbgQqUbb6Tp09U5Os3rWiV4jZv2OuvxPdvht70RfST8fjATZd7P33OYzxZ%2FdF7FwcgqPU0yMR2vMYDulpDfBvw%2BGCdBePpq8AAAAASUVORK5CYII%3D)](http://dx.doi.org/10.6084/m9.figshare.23612631) 
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License ## Overview This is a repository containing the dataset and R codes for our [paper](https://tufs.repo.nii.ac.jp/records/2000019) [@rajeg_usage-based_2023] that has been published in [NUSA](http://www.aa.tufs.ac.jp/en/publications/nusa) (*Linguistic studies of languages in and around Indonesia*) special volume (74) on “Applicatives in Austronesian Languages” [@aznar_applicatives_2023]. *How to cite the paper* > [Rajeg]{.smallcaps}, Gede Primahadi Wijaya and I Wayan [Arka]{.smallcaps}, 2023. ‘Usage-based perspective on argument realisation: A corpus study of Indonesian BUY verbs in applicative construction with -*kan*’. In Jocelyn [Aznar]{.smallcaps}, Christian [Döhler]{.smallcaps}, Jonzina [Vander Klok]{.smallcaps}, eds. *Applicatives in Austronesian Languages*. NUSA 74: 83-114. [https://tufs.repo.nii.ac.jp/records/2000019](https://tufs.repo.nii.ac.jp/records/2000019) ## Description of the repository - The .qmd file contains the R codes used to produce the quantitative analyses in the paper, including the statistical figures. This .qmd file also interweaves some text narratives with the codes. The file is published as a webpage at: https://gederajeg.github.io/applicative-buy/ - The raw, annotated concordance data is located in the [data](https://github.com/gederajeg/applicative-buy/tree/main/data) directory. - The statistical figures can also be accessed individually [here](https://github.com/gederajeg/applicative-buy/tree/main/nusa-applicative-code_files/figure-html). ## References

Owner

  • Name: Gede Primahadi Wijaya Rajeg
  • Login: gederajeg
  • Kind: user
  • Location: Bali, Indonesia
  • Company: Universitas Udayana

I am interested in cognitive linguistics, corpus linguistics, and construction grammar. I use R for all things data science in linguistics.

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  R Notebook and Dataset for "Usage-based perspective on
  argument realisation: A corpus study of Indonesian BUY
  verbs in applicative construction with -kan"
message: >-
  If you use this dataset, please cite it using the metadata
  from this file.
type: dataset
authors:
  - given-names: Gede Primahadi Wijaya
    family-names: Rajeg
    affiliation: >-
      Universitas Udayana, Indonesia & University of Oxford,
      UK
    orcid: 'https://orcid.org/0000-0002-2047-8621'
  - given-names: I Wayan
    family-names: Arka
    affiliation: >-
      Australian National University & Universitas Udayana,
      Indonesia
    orcid: 'https://orcid.org/0000-0002-2819-6186'
identifiers:
  - type: url
    value: 'https://github.com/gederajeg/applicative-buy'
    description: GitHub repository
  - type: doi
    value: 10.6084/m9.figshare.23612631
    description: Figshare DOI
repository-code: 'https://github.com/gederajeg/applicative-buy'
url: 'https://doi.org/10.6084/m9.figshare.23612631'
keywords:
  - applicative
  - Indonesian
  - Construction Grammar
  - Indonesian BUY verbs
  - corpus linguistics
  - quantitative corpus linguistics
  - usage-based construction grammar
  - morphosyntax
  - applicative construction
  - morphology
  - syntax
license: CC-BY-SA-4.0
version: 1.0.0
date-released: '2023-06-30'

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