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Atlas.txt: Linking Geo-referenced Data to Text
University of Aberdeen.
University of Aberdeen.
2007 (English)In: Proceedings of the 11th European Workshop on Natural Language Generation (ENLG 07) / [ed] Stephan Busemann, 2007, p. 163-166Conference paper, Published paper (Refereed)
Abstract [en]

Geo-referenced data which are often communicated via maps are inaccessible to the visually impaired population. We summarise existing approaches to improving accessibility of geo-referenced data and present the Atlas.txt project which aims to produce textual summaries of such data which can be read out via a screenreader. We outline issues involved in generating descriptions of geo-referenced data and present initial work on content determination based on knowledge acquisition from both parallel corpus analysis and input from visually impaired people. In our corpus analysis we build an ontology containing abstract representations of expert-written sentences which we associate with macros containing sequences of data analysis methods. This helps us to identify which data analysis methods need to be applied to generate text from data.

Place, publisher, year, edition, pages
2007. p. 163-166
National Category
Specific Languages Interaction Technologies
Identifiers
URN: urn:nbn:se:hig:diva-18248OAI: oai:DiVA.org:hig-18248DiVA, id: diva2:767577
Conference
11th European Workshop on Natural Language Generation (ENLG 07), 17{20 June 2007, Schloss Dagstuhl, Germany
Available from: 2014-12-01 Created: 2014-12-01 Last updated: 2018-03-13Bibliographically approved

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Thomas, Kavita Elisheba

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