Abstract
Nowadays there is a great interest in the development of Human-Computer Interaction (HCI) systems that allow the user to communicate in natural language, thus reducing the training required to use them. This paper focuses on the design and implementation of a conversational engine aimed at developing conversational agents in spanish for embedded systems. Our proposal adds a new element to a baseline conversational engine: a lemmatizer. This new element improves the naturalness of the dialogue, especially for highly inflectional languages such as Spanish, without increasing the size of the knowledge base. However the use of the lemmatizer implies an increase of both the memory allocated to the whole application and the total response time of the system. In order to alleviate the use of memory, the storage of the knowledge base of the conversational engine in an object-oriented database is also proposed and evaluated.
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Santos-Pérez, M., González-Parada, E., Cano-García, J.M. (2011). Embedded Conversational Engine for Natural Language Interaction in Spanish. In: Delgado, RC., Kobayashi, T. (eds) Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1335-6_35
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DOI: https://doi.org/10.1007/978-1-4614-1335-6_35
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