@misc{10481/91799,
year = {2024},
month = {2},
url = {https://hdl.handle.net/10481/91799},
abstract = {Quantitative data visualization is an important element of corpus linguistics, and visualization
tools are commonly available in corpus management systems (CMSs) or developed for
custom tasks. Nonetheless, the implementation and advancement of visualization methods can be
a challenge, both for individual projects and collectively. This article introduces a web application
template that integrates with the Sketch Engine application programming interface (API) to encourage
the development of new visualization tools that can provide advanced visualization features
while directly communicating with the CMS. The application template, written in Python and called
Quartz, is described and implemented for the Humanitarian Encyclopedia as part of ongoing efforts
to conduct analyses of humanitarian concepts. The application’s features, purpose, and limitations
are described, and an example case study utilizing the software is offered, focusing on usage patterns
of the concept LOCALIZATION in the humanitarian domain. Some of the challenges of improving
visualization techniques for corpus-based analysis are discussed, including data interoperability and
the role of visualization in data exploration.},
organization = {Regional Government of Andalusia (Spain) as part of
project PROYEXCEL_00369 (VariTermiHum)},
publisher = {MDPI},
keywords = {Corpus linguistics},
keywords = {Computational terminology},
keywords = {Data visualization},
title = {Quartz: A Template for Quantitative Corpus Data Visualization Tools},
doi = {10.3390/languages9030081},
author = {Isaacs, Loryn and Odlum, Alex and León Arauz, Pilar},
}