著者

Clark Eleanor ARAKI Kenji

出版者

人工知能学会

雑誌

人工知能学会全国大会論文集 (ISSN:13479881)

巻号頁・発行日

vol.26, 2012

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We present a system for generating casual English short sentences from regular English input using a phonetic rule-based approach. This is addressed as an AI task, with the potential application of generating Twitter-style sentences for marketing or other communication purposes. Our aim was to automatically produce sentences that would appear to a human reader to be indistinguishable to sentences which are the result of human creativity. To evaluate the performance of the system, we conducted Turing-type tests with human readers, to consider firstly "human-likeness", and also "legibility" of the sentences. In this paper, we discuss the overall design of the system, the custom-made phoneme database, and the process and results of our evaluation experiment.