Towards computer-human interaction in natural language

Authors: Koit, M.1; Gerassimenko, O.2; Kasterpalu, R.2; Raabis, A.2; Strandson, K.3

Source: International Journal of Computer Applications in Technology, Volume 34, Number 4, 25 March 2009 , pp. 291-297(7)

Publisher: Inderscience Publishers

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Abstract:

Estonian human-human calls (directory inquiries) are analysed with the further aim to develop a computer-human dialogue system that interacts with a user in natural language. The analysis is based on the Estonian Dialogue Corpus. Linguistic features of clients' requests and agents' grants are studied. A client's initial request sets up a goal which will be achieved in collaboration with the agent. Information is given briefly by agents, using short sentences or phrases. Information-sharing sub-dialogues are initiated by both participants if either a request or a grant needs to be adjusted. A formal grammar of information dialogue is introduced in this paper. The results of the study will be implemented in two dialogue systems which are under development.

Keywords: COMPUTING JOURNALS; Computing Science, Applications and Software; TECHNICAL JOURNALS; General Engineering; Materials and Manufacturing; Simulation and Modelling

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJCAT.2009.024082

Affiliations: 1: Institute of Computer Science, University of Tartu, J. Liivi 2, Tartu, 50409, Estonia. 2: Institute of Estonian and General Linguistics, University of Tartu, J. Liivi 2, Tartu, 50409, Estonia. 3: Institute of Estonian and General Linguistics, University of Tartu, J. Liivi 2, Tartu, 50409, Estonia

Publication date: 2009-03-25

More about this publication?
  • The International Journal of Computer Applications in Technology addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.
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