TRAViz: A Visualization for Variant Graphs

Jänicke, Stefan; Geßner, Annette; Franzini, Greta; Terras, Melissa; Mahony, Simon; Scheuermann, Gerik

doi:10.1093/llc/fqv049

Cited by 35 publications

(40 citation statements)

References 9 publications

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“…Jänicke et al [42] propose an extended distant view of the variant graph to support analysis on higher text abstractions such as sections or chapters. They exemplify their method with a distant reading of 24 Bible editions.…”

Section: Examples Of Visualizations From Digital Humanitiesmentioning

confidence: 99%

TransVis: Integrated Distant and Close Reading of Othello Translations

Alharbi

Cheesman

Laramee

2022

IEEE Trans. Visual. Comput. Graphics

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Studying variation among time-evolved translations is a valuable research area for cultural heritage. Understanding how and why translations vary reveals cultural, ideological, and even political influences on literature as well as author relations. In this paper, we introduce a novel integrated visual application to support distant and close reading of a collection of Othello translations. We present a new interactive application that provides an alignment overview of all the translations and their correspondences in parallel with smooth zooming and panning capability to integrate distant and close reading within the same view. We provide a range of filtering and selection options to customize the alignment overview as well as focus on specific subsets. Selection and filtering are responsive to expert user preferences and update the analytical text metrics interactively. Also, we introduce a customized view for close reading which preserves the history of selections and the alignment overview state and enables backtracing and reexamining them. Finally, we present a new Term-Level Comparisons view (TLC) to compare and convey relative term weighting in the context of an alignment. Our visual design is guided by, used and evaluated by a domain expert specialist in German translations of Shakespeare.

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Section: Examples Of Visualizations From Digital Humanitiesmentioning

confidence: 99%

TransVis: Integrated Distant and Close Reading of Othello Translations

Alharbi

Cheesman

Laramee

2022

IEEE Trans. Visual. Comput. Graphics

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“…An interactive visualization of the collation results is therefore an important issue related to automated collation. The variant graph data model behind collation tools (see Schmidt and Colomb 2009; see also Dekker et al 2015) serves as visualization in Stemmaweb, Jänicke et al (2015) proposed a new tool, Traviz, meant to improve the variant graph visalization. The features of Traviz include for instance the use of colours to distinguish witnesses, font-sizes that reveal the frequency of a reading, and a division of the text in lines for better readability.…”

Section: Automated Collationmentioning

confidence: 99%

Visualizing Collation Results

Nury¹

2019

variants

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How can the results of automated collation facilitate the analysis of witnesses' relationships? This article introduces the tool PyCoviz, designed to process a collation obtained with CollateX, focusing on the scholarly need to detect shared errors and unique errors. The Declamations of Calpurnius Flaccus serves as a case study to show how PyCoviz allows to reproduce an editor's conclusions on the manuscript tradition. While analyzing the collation of Calpurnius' text, this article discusses the difficulty of comparing orthographic differences, and how PyCoviz could be improved to deal with incomplete witnesses, or to visualized editorial uncertainty.

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“…The web-based approach Stemmaweb [13] extends CollateX and enables users to annotate, split and merge vertices. TRAViz [14] uses a variant graph to show variations between different editions of Genesis and focuses on the improvement of the visual graph representation. It uses color, word-sizing, and a linear alignment as well as it removes unnecessary visual elements to improve the readability of the variant graph.…”

Section: Variant Graphsmentioning

confidence: 99%

Visual Interactive Comparison of Part-of-Speech Models for Domain Adaptation

John

Heimerl

Sudra³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Interactive visual analysis of documents relies critically on the ability of machines to process and analyze texts. Important techniques for text processing include text summarization, classification, or translation. Many of these approaches are based on part-of-speech tagging, a core natural language processing technique. Part-ofspeech taggers are typically trained on collections of modern newspaper, magazine, or journal articles. They are known to have high accuracy and robustness when applied to contemporary newspaper style texts. However, the performance of these taggers deteriorates quickly when applying them to more domain specific writings, such as older or even historical documents. Large training sets tend to be scarce for these types of texts due to the limited availability of source material and costly digitization and annotation procedures. In this paper, we present an interactive visualization approach that facilitates analysts in determining part-of-speech tagging errors by comparing several standard part-of-speech tagger results graphically. It allows users to explore, compare, evaluate, and adapt the results through interactive feedback in order to obtain a new model, which can then be applied to similar types of texts. A use case shows successful applications of the approach and demonstrates its benefits and limitations. In addition, we provide insights generated through expert feedback and discuss the effectiveness of our approach.

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TRAViz: A Visualization for Variant Graphs

Cited by 35 publications

References 9 publications

TransVis: Integrated Distant and Close Reading of Othello Translations

TransVis: Integrated Distant and Close Reading of Othello Translations

Visualizing Collation Results

Visual Interactive Comparison of Part-of-Speech Models for Domain Adaptation

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