Corpus linguistic analysis for Corpus Workbench corpora
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README.md

README.md

rusecqp: An R package for corpus linguistic analysis with Corpus Workbench corpora

3.4.2018, Thilo Wiertz

Description

The Open Source Project IMS Corpus Workbench (CWB, Evert & Hardie, 2011) provides a data model and corpus query processor (CQP) for linguistic analysis. The existing rcqp-Package (Desgraupes & Loiseau 2018) enables users to perform queries on Corpus Workbench corpora in R and access token level information, but does not provide high level functions for corpus linguistic analysis. rusecqp wraps and builds on top of rcqp to provide functions such as frequency distribution, ngrams, or keyword and collocation analysis.

Prerequisites

The package requires a working installation of the IMS Corpus Workbench on the system and rcqp. For installation instructions of both dependencies see the respective websites. Make sure to configure the path to the corpus workbench registry directory by Sys.setenv(CORPUS_REGISTRY = path_to_registry_dir) before loading rcqp. To check whether all dependencies are met and corpora are available, you can type in rcqp::cqi_list_corpora(). This should print a list of corpora available on the system.

Installation

To install rusecqp, install the devtools package and than rcqp. This will also install the dependency packages data.table and stringr as required:

install.packages("devtools")
devtools::install_github("wiertz/rusecqp")

Load the package with

library("rusecqp")

Overview on functions

See the help of the respective functions for explanations of their usage. Currently implemented functions are:

Accessing and subsetting corpora

  • list_corpora lists corpora available on the system.
  • get_corpus initializes a corpus for further processing.
  • subset_corpus creates a corpus subset based on corpus meta information (CWB structural attribute values).

Corpus based analysis

  • frequency_list calculates a frequency list of tokens for a corpus or corpus subset.
  • ngrams calculates a frequency list of ngrams for a corpus or subcorpus. Note that ngram-calculation is very memory intensive and may cause the computer to hang if performed on large corpora (e.g. above 100 Mio. tokens).
  • keywords performs keyword analysis based on two frequency lists (e.g. as retrieved from frequency_list).

Query processing

  • query_corpus can be used to query a corpus using the CQP syntax. The result can be handed to the following functions for analysis:
  • q_frequency_breakdown returns a frequency table of query matches.
  • q_distribution shows number of matches in different categories defined by a structural attribute.
  • q_collocations analyzes collocations based on a window (context) around the query match.

References

  • Desgraupes, B. and S. Loiseau (2016): rcqp: Interface to the Corpus Query Protocol. – Available online at: https://cran.r-project.org/package=rcqp. – accessed online 22/1/2018
  • Evert, S., and A. Hardie 2011. Twenty-First Century Corpus Workbench: Updating a Query Architecture for the New Millennium. – Proceedings of the Corpus Linguistics 2011 Conference. – University of Birmingham, UK

Contact

Thilo Wiertz, thilo.wiertz@geographie.uni-freiburg.de