- 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
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.