|Full Title:||DGfS Workshop: Visualization of Linguistic Patterns|
|Start Date:||13-Mar-2013 - 13-Mar-2013|
|Meeting Email:||click here to access email|
Workshop at the 35th Annual Conference of the German Linguistic Society (DGfS 2013)
Invited speaker: Chris Culy, University of Tübingen
Workshop organizers: Annette Hautli (Konstanz) and Thomas Mayer (Marburg)
With the availability of large amounts of electronic corpora, the computational analysis of natural language allows for the search of linguistic patterns in a broad range of data. Yet the enormous amounts of data make the detection of interesting patterns and possible interactions a laborious and time-consuming task. The need to analyze the interplay of a multitude of factors calls for an additional component that renders potential patterns more easily accessible to the human perception.
Although linguists have successfully employed visual representations in some areas (e.g. spectrograms in phonetic research, tree diagrams for syntactic and genealogical configurations and the widespread use of box plots and other graphical descriptive techniques), there is enormous potential for more sophisticated visualization techniques that enable the researcher to investigate the information interactively. At the same time, a well-designed visualization allows for a more detailed view of individual aspects of potentially interesting patterns. The mapping of relevant features to visual variables (rather than having them represented by a host of numbers) thereby enhances the detection of patterns by providing an at-a-glance overview over large amounts of data.
The aim of this interdisciplinary workshop is to bring together linguists and visual analysts to provide an opportunity for fruitful discussions on how language research that employs data-rich methods can benefit from visualization techniques. The interest lies both in the application of innovative visualization techniques to long-standing problems in linguistics as well as in new areas or phenomena where visual analyses have proven useful to either generate or confirm hypotheses on the basis of the data.
|Linguistic Subfield:||Computational Linguistics; General Linguistics|
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