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dc.contributor.authorAbbas Saliimi, Lokman-
dc.contributor.authorJasni, Mohamad Zain-
dc.date.accessioned2010-08-11T03:57:46Z-
dc.date.available2010-08-11T03:57:46Z-
dc.date.issued2009-06-20-
dc.identifier.citationp.139-142en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/8547-
dc.descriptionMUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.en_US
dc.description.abstractArtificial Intelligence chatbot is a technology that makes interaction between man and machine using natural language possible. In this paper, we proposed a technique named Sequence Words Deleted (SWD) for used in the process of chatbot pattern matching. This technique are based on the combination of ELIZA (direct keywords match) and A.L.I.C.E (keywords can be more than just one word from the input utterance) technique. The logic and flow of SWD will be presented along with discussions on issues regarding the limitation and how SWD can be implemented.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Pahang (UMP)en_US
dc.relation.ispartofseriesProceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009en_US
dc.subjectSWDen_US
dc.subjectPossible matchen_US
dc.subjectInput utteranceen_US
dc.subjectChatboten_US
dc.subjectSequence Words Deleteden_US
dc.subjectMUCEETen_US
dc.subjectMalaysian Technical Universities Conference on Engineering and Technologyen_US
dc.titleSequence Words Deleted (SWD) technique for pattern matching in chatboten_US
dc.typeWorking Paperen_US
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