Using Gunnnig-Fog index to assess instant messages readability from ECAs

Goh, Ong Sing and Fung, C.C. and Depickere, A. and Wong, K.W. (2007) Using Gunnnig-Fog index to assess instant messages readability from ECAs. In: 3rd International Conference on Natural Computation. ICNC 2007., 24-27 Aug. 2007, Haikou.

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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.

Item Type: Conference or Workshop Item (Paper)
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Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Assoc. Prof. Dr. Ong Sing Goh
Date Deposited: 05 Nov 2014 13:41
Last Modified: 28 May 2015 04:24
URI: http://eprints.utem.edu.my/id/eprint/12387
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