CorpSum: Towards an Enabling Tool-Design for Language Researchers to Explore, Analyze and Visualize Cor

CorpSum: Towards an Enabling Tool-Design for Language Researchers to Explore, Analyze and Visualize Cor

Abstract

Linguists use annotated text collections to validate, refute and refine a hypothesis about the written language. This research requires the creation and analysis of complex queries which are often above the technical expertise of the domain users. In this paper, we present a tool-design which enables language researchers to easily query annotated text corpora and conduct a comparative multi-faceted analysis on a single screen. The results of the iterative design process, including requirement analysis, multiple prototyping and user evaluation sessions, and expert reviews, are documented in detail. Our tool, called CorpSum, shows a 43.12 point increase in the mean SUS score in a randomized within-subjects test and an improvement of 3.18 times in mean task completion duration compared to a conventional solution. Two detailed case studies with linguists demonstrate a significant improvement for solving the real-world problems of the domain users.

Grafik Top
Authors
  • Çetin, Asil
  • Möller, Torsten
  • Torsney-Weir, Thomas
Grafik Top
Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
The 2021 ACM CHI Virtual Conference on Human Factors in Computing Systems
Divisions
Visualization and Data Analysis
Event Location
Virtual
Event Type
Conference
Event Dates
08.-13. May 2021
Series Name
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
ISSN/ISBN
978-1-4503-8096-6
Page Range
pp. 1-12
Date
8 May 2021
Export
Grafik Top