Researchers working in areas such as lexicography, translation studies, and computational linguistics, use a combination of automated and semi-automated tools to analyze the content of text corpora. Keywords, named entities, and events are often extracted automatically as the first step in the analysis. Concordancing -- or the arranging of passages of a textual corpus in alphabetical order according to user-defined keywords -- is one of the oldest and still most widely used forms of text analysis. This paper describes Multi-Mosaics, a tool for corpus analysis using multiple implicitly linked Concordance Mosaic visualisations. Multi-Mosaics supports examining linguistic relationships within the context windows surrounding extracted keywords.
@article{arxiv.2203.12262,
title = {Multi-Mosaics: Corpus Summarizing and Exploration using multiple Concordance Mosaic Visualisations},
author = {Shane Sheehan and Saturnino Luz and Masood Masoodian},
journal= {arXiv preprint arXiv:2203.12262},
year = {2022}
}