• Language DNA: Visualizing a language decomposition

    A. J. Bradley, T. Kirton, M. Hancock, and S. Carpendale, “Language DNA: Visualizing a language decomposition,” Digital Humanities Quarterly, vol. 10, iss. 4, 2016.

    @article{Bradley:2016:LDNA, author = {Adam James Bradley and Travis Kirton and Mark Hancock and Sheelagh Carpendale}, title = {Language {DNA}: Visualizing a language decomposition}, journal = {Digital Humanities Quarterly}, issue_date = {2016}, volume = {10}, number = {4}, year = {2016}, issn = {1938-4122}, publisher = {ADHO}, abstract = {In the Digital Humanities, there is a fast-growing body of research that uses data visualization to explore the structures of language. While new techniques are proliferating they still fall short of offering whole language experimentation. We provide a mathematical technique that maps words and symbols to ordered unique numerical values, showing that this mapping is one-to-one and onto. We demonstrate this technique through linear, planar, and volumetric visualizations of data sets as large as the Oxford English Dictionary and as small as a single poem. The visualizations of this space have been designed to engage the viewer in the analogic practice of comparison already in use by literary critics but on a scale inaccessible by other means. We studied our visualization with expert participants from many fields including English studies, Information Visualization, Human-Computer Interaction, and Computer Graphics. We present our findings from this study and discuss both the criticisms and validations of our approach.}, url = {http://www.digitalhumanities.org/dhq/vol/10/4/000259/000259.html}, subtype = {journal} }


    Abstract

    In the Digital Humanities, there is a fast-growing body of research that uses data visualization to explore the structures of language. While new techniques are proliferating they still fall short of offering whole language experimentation. We provide a mathematical technique that maps words and symbols to ordered unique numerical values, showing that this mapping is one-to-one and onto. We demonstrate this technique through linear, planar, and volumetric visualizations of data sets as large as the Oxford English Dictionary and as small as a single poem. The visualizations of this space have been designed to engage the viewer in the analogic practice of comparison already in use by literary critics but on a scale inaccessible by other means. We studied our visualization with expert participants from many fields including English studies, Information Visualization, Human-Computer Interaction, and Computer Graphics. We present our findings from this study and discuss both the criticisms and validations of our approach.