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This paper describes the NECA MNLG; a fully implemented Multimodal Natural Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues between animated agents. The generation module supports the seamless integration of full grammar rules, templates and canned text. The generator takes input which allows for the specification of syntactic, semantic and pragmatic constraints on the output.
|Item Type:||Conference Item|
|Extra Information:||This paper appeared in the companion volume (for research notes) of the conference proceedings.|
|Keywords:||computational linguistics; embodied conversational agents; natural language generation; multimodality|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Paul Piwek|
|Date Deposited:||22 Jun 2006|
|Last Modified:||05 Oct 2016 07:56|
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