A Survey of Text Alignment Visualization

Tariq Yousef, Stefan Janicke

Research output: Contribution to journalJournal articleResearchpeer-review

16 Downloads (Pure)


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
Issue number2
Pages (from-to)1149-1159
Publication statusPublished - Feb 2021


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

Fingerprint Dive into the research topics of 'A Survey of Text Alignment Visualization'. Together they form a unique fingerprint.

Cite this