Visualizing Text Alignments: Image Processing Techniques for Locating 18th-Century Commonplaces

Glenn Roe, Alfie Abdul-Rahman, Min Chen, Clovis Gladstone, Robert Morrissey, Mark Olsen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


    This paper examines the use of 'visual analytic' techniques to scrutinise and refine current approaches and algorithms for the identification of text reuse and alignment. In particular, we compare text alignment approaches using the ViTA (Visualization for Text Alignment) system we have developed in the context of a Digging into Data project that seeks to identify 18th century commonplaces in large-scale historical datasets. By leveraging the flexibility of image processing techniques to visualize text alignments in a variety of ways and using multiple parameters, we can improve upon current alignment algorithms in an iterative and integrated process of automated text mining, multivariate visualization, and human-computer interaction
    Original languageEnglish
    Title of host publicationDigital Humanities 2015
    Place of PublicationSydney, Australia
    PublisherUniversity of Western Sydney
    EditionPeer Reviewed
    Publication statusPublished - 2015
    EventDigital Humanities 2015 - University of Western Sydney
    Duration: 1 Jan 2015 → …


    ConferenceDigital Humanities 2015
    Period1/01/15 → …
    OtherJune 29 - July 3 2015
    Internet address


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