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Designing a Task-Based Evaluation Methodology for a Spoken Machine Translation System
Carnegie Mellon University.ORCID iD: 0000-0002-0944-5300
1999 (English)In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics: ACL 1999, 1999Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, I discuss issues pertinent to the design of a task-based evaluation methodology for a spoken machine translation (MT) system processing human to human communication rather than human to machine communication. I claim that system mediated human to human communication requires new evaluation criteria and metrics based on goal complexity and the speaker's prioritization of goals.

Place, publisher, year, edition, pages
1999.
Keywords [en]
machine translation, dialogue
National Category
Specific Languages Interaction Technologies
Identifiers
URN: urn:nbn:se:hig:diva-18285OAI: oai:DiVA.org:hig-18285DiVA, id: diva2:769222
Conference
37th Annual Meeting of the Association for Computational Linguistics, 20-26 June 1999, Maryland, USA
Available from: 2014-12-05 Created: 2014-12-05 Last updated: 2023-05-02Bibliographically approved

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Thomas, Kavita Elisheba

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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  • sv-SE
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Output format
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