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  6. [Data] Differences in Onomatopoeia Representation - Hiragana and Katakana

[Data] Differences in Onomatopoeia Representation - Hiragana and Katakana

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last updated:Apr 21, 2025

感性AI
感性AI
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Introducing research conducted at the Sakamoto Laboratory of the University of Electro-Communications, which developed a system to analyze impressions of onomatopoeia!

This document introduces the differences between hiragana and katakana in the representation of onomatopoeia. It explains the definition and classification of onomatopoeia, as well as the rules for representation in newspapers, communications, and broadcasting. Additionally, it includes graphs to clearly illustrate the differences in imagery based on the representation of onomatopoeia. [Contents] ■ What is onomatopoeia ■ Rules for representing onomatopoeia ■ Actual representation of onomatopoeia ■ Differences in imagery based on the representation of onomatopoeia ■ Research from the Sakamoto Laboratory at the University of Electro-Communications and development by Kansei AI Inc. *For more details, please download the PDF or feel free to contact us.

    Business Intelligence and Data Analysis
オノマトペ.png

[Data] Differences in Onomatopoeia Representation - Hiragana and Katakana

オノマトペ.png
オノマトペ.png
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[Data] Differences in Onomatopoeia Notation - Hiragana and Katakana

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感性AI

感性AI

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Our company was established on May 25, 2018, through joint investment by Keio Corporation and Professor Maki Sakamoto of the National University Corporation, University of Electro-Communications. We are a company that can commercially utilize the intellectual property from the Sakamoto Laboratory at the University of Electro-Communications, which has been certified as a venture originating from the university. By creating AI that understands the hidden senses within people and supports their expression, we aim to become a platform for the utilization of sensitivity.

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