Task-based Quantitative Evaluation of the Concordance Mosaic Visualization

Shane Sheehan, M. Masoodian, S. Luz
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Abstract

Researchers working in areas such as lexicography, translation studies, and computational linguistics, use a combination of automated and semi-automated tools to analyze the content of text corpora. Concordancing - or the arranging of passages of a textual corpus in alphabetical order according to user-defined keywords - is one of the oldest and still most widely used forms of text analysis. Concordance Mosaic is an interactive concordance visualization which emphasises quantitative information such as word frequency. While Concordance Mosaic is in active use by humanities scholars, no quantitative evaluation of the technique exists. In this paper, the Concordance Mosaic is quantitatively evaluated in comparison to a typical concordance browser. The comparison is evaluated using speed and accuracy on identified corpus analysis actions.
基于任务的一致性拼接可视化定量评价
在词典编纂、翻译研究和计算语言学等领域工作的研究人员使用自动化和半自动化工具的组合来分析文本语料库的内容。排序法,即根据用户定义的关键词,按字母顺序排列文本语料库中的段落,是最古老、也是使用最广泛的文本分析方法之一。协和马赛克是一种交互式的协和可视化,它强调词频等定量信息。虽然人文学者正在积极使用协和马赛克,但没有对该技术进行定量评价。在本文中,对协和马赛克进行了定量评价,并与典型的协和浏览器进行了比较。通过对识别的语料分析动作的速度和准确性进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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