What are the principal mechanisms required to capture the robustness and interactivity of hu-man communication, given the situational, noisy and often ambiguous nature of natural lan-guage? And how, and to what extent, can we integrate these mechanisms within an embodied functional model that is computationally and empirically verifiable? We addressed these re-search questions by investigating the linguistic phenomenon of conversational repair (CR) -- a method to edit and re-interpret previously uttered sentences that were not correctly understood by the hearer....


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    Titel :

    Final report of the project Learning Conversational Action Repair for Intelligent Robots (LeCAREbot)


    Beteiligte:
    Eppe, Manfred (Autor:in) / Wermter, Stefan (Autor:in) / TUHH Universitätsbibliothek (Gastgebende Institution)

    Erscheinungsdatum :

    2025



    Medientyp :

    Report


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629 / 006





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