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Human Evaluation of Conceptual Route Graphs for Interpreting Spoken Route Descriptions
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-7412-0967
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-8579-1790
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-0397-6442
2013 (English)In: Proceedings of the 3rd International Workshop on Computational Models of Spatial Language Interpretation and Generation (CoSLI), Potsdam, Germany, 2013, 30-35 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a human evaluation of the usefulness of conceptual route graphs (CRGs) when it comes to route following using spoken route descriptions. We describe a method for data-driven semantic interpretation of route de-scriptions into CRGs. The comparable performances of human participants in sketching a route using the manually transcribed CRGs and the CRGs produced on speech recognized route descriptions indicate the robustness of our method in preserving the vital conceptual information required for route following despite speech recognition errors.

Place, publisher, year, edition, pages
Potsdam, Germany, 2013. 30-35 p.
National Category
Computer Science Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-134931OAI: oai:DiVA.org:kth-134931DiVA: diva2:668774
Conference
the 3rd International Workshop on Computational Models of Spatial Language Interpretation and Generation (CoSLI)
Note

tmh_import_13_12_02, tmh_id_3837. QC 20140320

Available from: 2013-12-02 Created: 2013-12-02 Last updated: 2014-03-20Bibliographically approved

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Meena, RaveeshSkantze, GabrielGustafson, Joakim

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Language
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  • en-US
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  • nn-NO
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  • Other locale
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Output format
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