UDPipe Grunnegs


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About

UDPipe Grunnegs is a web app for lemmatizing and PoS tagging of texts that are written in the regional Groningen language. The lemmatizer/tagger are trained on text in Gronings that is annotated according to the guidelines of Universal Dependencies version 2 . We use UDPipe as available via the R package udpipe . UDPipe Grunnegs is still under develoment. Comments are welcome and can be sent to .


In addition to the lemmatizer/tagger parser for Gronings, a lemmatizer/tagger/dependency parser for Dutch (LassySmall, compiled by Gosse Bouma and Gertjan van Noord) and English (ParTUT, compiled by Cristina Bosco and Manuela Sanguinetti) is provided. When entering or uploading some text, the appropriate tool is automatically chosen.


System requirements

UDPipe Grunnegs runs best on a computer with a monitor with a minimum resolution of 1370 x 870 (width x height). The use of (a recent version of) Chrome, Chromium, Edge, Firefox or Opera as a web browser is to be preferred.


Acknowledgements

The development of this software was made possible by a CLARIAH-Plus project financed by the Dutch Research Council (Grant 184.034.023). We thank Milan Straka and Jana Straková (Charles University, UFAL) for developing UDPipe . We thank Jan Wijffels (BNOSAC) for developing and making available the R package udpipe . In this web app we used glyphs from the Glyphicon Halflings set.


Implementation

Two existing web apps served as examples, namely UDPipe and Linguakit . UDPipe Grunnegs is implemented as a Shiny app. Shiny was developed by RStudio. This web app uses the following R packages:


  • base

    R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
  • shiny

    Winston Chang, Joe Cheng, J.J. Allaire, Yihui Xie and Jonathan McPherson (2017). shiny: Web Application Framework for R. R package version 1.0.0. https://CRAN.R-project.org/package=shiny
  • shinyjs

    Dean Attali (2018). shinyjs: Easily Improve the User Experience of Your Shiny Apps in Seconds. R package version 1.0. https://CRAN.R-project.org/package=shinyjs
  • shinyWidgets

    Victor Perrier, Fanny Meyer and David Granjon (2019). shinyWidgets: Custom Inputs Widgets for Shiny. R package version 0.5.0. https://CRAN.R-project.org/package=shinyWidgets
  • shinysky

    Dai ZJ (2019). shinysky: A Set of Shiny Components and Widgets. R package version 0.1.3. https://github.com/AnalytixWare/ShinySky
  • shinyAce

    Vincent Nijs, Forest Fang, Trestle Technology, LLC and Jeff Allen (2019). shinyAce: Ace Editor Bindings for Shiny. R package version 0.4.1. https://CRAN.R-project.org/package=shinyAce
  • readr

    Hadley Wickham, Jim Hester and Romain Francois (2018). readr: Read Rectangular Text Data. R package version 1.3.1. https://CRAN.R-project.org/package=readr
  • textreadr

    Rinker, T. W. (2018). textreadr: Read Text Documents into R version 0.9.0. Buffalo, New York. http://github.com/trinker/textreadr
  • xml2

    Hadley Wickham, Jim Hester and Jeroen Ooms (2021). xml2: Parse XML. R package version 1.3.3. https://CRAN.R-project.org/package=xml2
  • rvest

    Hadley Wickham (2021). rvest: Easily Harvest (Scrape) Web Pages. R package version 1.0.2. https://CRAN.R-project.org/package=rvest
  • openxlsx

    Philipp Schauberger and Alexander Walker (2020). openxlsx: Read, Write and Edit xlsx Files. R package version 4.2.3. https://CRAN.R-project.org/package=openxlsx
  • stringr

    Hadley Wickham (2019). stringr: Simple, Consistent Wrappers for Common String Operations. R package version 1.4.0. https://CRAN.R-project.org/package=stringr
  • udpipe

    Jan Wijffels (2019). udpipe: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit. R package version 0.8.3. https://CRAN.R-project.org/package=udpipe
  • DT

    Yihui Xie, Joe Cheng and Xianying Tan (2019). DT: A Wrapper of the JavaScript Library 'DataTables'. R package version 0.11. https://CRAN.R-project.org/package=DT
  • lattice

    Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R. Springer, New York. ISBN 978-0-387-75968-5
  • igraph

    Csardi G, Nepusz T: The igraph software package for complex network research, InterJournal, Complex Systems 1695. 2006. http://igraph.org
  • ggraph

    Thomas Lin Pedersen (2019). ggraph: An Implementation of Grammar of Graphics for Graphs and Networks. R package version 2.0.0. https://CRAN.R-project.org/package=ggraph
  • ggplot2

    H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.
  • textrank

    Jan Wijffels (2019). textrank: Summarize Text by Ranking Sentences and Finding Keywords. R package version 0.3.0. https://CRAN.R-project.org/package=textrank
  • ggwordcloud

    Erwan Le Pennec and Kamil Slowikowski (2019). ggwordcloud: A Word Cloud Geom for 'ggplot2'. R package version 0.5.0. https://CRAN.R-project.org/package=ggwordcloud



Liability

This app is provided 'as is' without warranty of any kind, either express or implied, including, but not limited to, the implied warranties of fitness for a purpose, or the warranty of non-infringement. Without limiting the foregoing, the Center Groningen Language & Culture makes no warranty that: 1) the app will meet your requirements, 2) the app will be uninterrupted, timely, secure or error-free, 3) the results that may be obtained from the use of the app will be effective, accurate or reliable, 4) the quality of the app will meet your expectations, 5) any errors in the app will be corrected.


The app and its documentation could include technical or other mistakes, inaccuracies or typographical errors. The Center Groningen Language & Culture may make changes to the app or documentation made available on its web site. The app and its documentation may be out of date, and the Center Groningen Language & Culture makes no commitment to update such materials.


The Center Groningen Language & Culture assumes no responsibility for errors or ommissions in the app or documentation available from its web site.


In no event shall the Center Groningen Language & Culture be liable to you or any third parties for any special, punitive, incidental, indirect or consequential damages of any kind, or any damages whatsoever, including, without limitation, those resulting from loss of use, data or profits, whether or not the Center Groningen Language & Culture has been advised of the possibility of such damages, and on any theory of liability, arising out of or in connection with the use of this software.


The use of the app is done at your own discretion and risk and with agreement that you will be solely responsible for any damage to your computer system or loss of data that results from such activities. No advice or information, whether oral or written, obtained by you from the Center Groningen Language & Culture shall create any warranty for the software.


Other

The disclaimer may be changed from time to time.