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    A Multi-lingual pedestrian navigation and campus guidance system using CloudMade API

    Jacob, Ricky and Zheng, Jianghua and Winstanley, Adam C. and Ciepłuch, Błażej and Mooney, Peter (2009) A Multi-lingual pedestrian navigation and campus guidance system using CloudMade API. In: Proceedings of 10th International Conference on GeoComputation, November 2009, Sydney, Australia.

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    The importance of a good campus navigation system cannot be ignored as the users will vary from students, special guests, visitors and multi-lingual attendees. Providing a navigation and guidance system with a multi-lingual interface helps in personalizing the system according to the user’s preference for the language of interaction. [Pascal Neis, 2009] is an example of a multi-lingual routing application for navigation developed at the University of Bonn where optimal paths are generated with textual description in the user’s preferred language. Natural language generation (NLG) is the subfield of artificial intelligence and computational linguistics. It is concerned with the construction of computer systems that can produce understandable texts in human languages and form some underlying non-linguistic representation of information in order to meet specified communicative goals [McDonald D.D., 1987].

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Research presented in this paper was funded by a Strategic Research Cluster grant (07/SRC/I1168) by Science Foundation Ireland under the National Development Plan. Part of this work is funded by the Environmental Protection Agency STRIVE research programme under the National Development Plan. The authors gratefully acknowledge this support. The assistance of ZhanGang Zhang (Department of Computer Science) is acknowledged for providing us with the Chinese translations of various places and features in Maynooth and Dublin
    Keywords: Multi-lingual; pedestrian navigation; campus guidance system; CloudMade API;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 2489
    Depositing User: Dr. Adam Winstanley
    Date Deposited: 30 Mar 2011 15:31
    Refereed: No
    Funders: Science Foundation Ireland, Environmental Protection Agency STRIVE research programme
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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