Linguistic processing of implied information and connotative features in multilingual HCI applications

  • Authors:
  • Christina Alexandris;Ioanna Malagardi

  • Affiliations:
  • National University of Athens, Greece;National University of Athens, Greece

  • Venue:
  • HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
  • Year:
  • 2013

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Abstract

Implied information and connotative features may not always be easily detected or processed in multilingual Human-Computer Interaction Systems for the International Public, especially in applications related to the Service Sector. The proposed filter concerns the detection of implied information and connotative features in HCI applications processing online texts and may be compatible with Interlinguas including the signalization of connotative features, if necessary. The proposed approach combines features detected in the lexical and morpho-syntactic level, and in the prosodic and paralinguistic levels.