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• W2109279759 abstract "In this paper, we examine the readability of the human-machine conversation transcripts in the instant messaging environment based on the Gunning-fog index. The study is based on an embodied conversational agent (ECA) called artificial intelligent natural-language identity (AINI) which was designed to mimic human conversation. The ECA is also expected to supply answers with a sense of humour. We report on the collection and analysis of a corpus containing over 3,280 utterances in a series of real instant messages exchanged between AINI with 65 online buddies." @default.
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• W2109279759 date "2007-08-01" @default.
• W2109279759 modified "2023-09-23" @default.
• W2109279759 title "Using Gunnnig-Fog Index to Assess Instant Messages Readability from ECAs" @default.
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• W2109279759 doi "https://doi.org/10.1109/icnc.2007.800" @default.
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