A Survey of Text Alignment Visualization

Tariq Yousef, Stefan Janicke

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Text alignment is one of the fundamental techniques text-related domains like natural language processing, computational linguistics, and digital humanities. It compares two or more texts with each other aiming to find similar textual patterns, or to estimate in general how different or similar the texts are. Visualizing alignment results is an essential task, because it helps researchers getting a comprehensive overview of individual findings and the overall pattern structure. Different approaches have been developed to visualize and help making sense of these patterns depending on text size, alignment methods, and, most importantly, the underlying research tasks demanding for alignment. On the basis of those tasks, we reviewed existing text alignment visualization approaches, and discuss their advantages and drawbacks. We finally derive design implications and shed light on related future challenges.

Original languageEnglish
JournalIEEE Transactions on Visualization and Computer Graphics
Volume27
Issue number2
Pages (from-to)1149-1159
ISSN1077-2626
DOIs
Publication statusPublished - Feb 2021

Keywords

  • Collation
  • Plagiarism Analysis
  • Text Alignment
  • Text Re-Use
  • Text Visualization
  • Translation Studies

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