CACIKI - Compositionally Analyzed Collection of Illustrated Kanji Information
摘要
In this paper, we present a collection of 3,503 kanji with complete component hierarchies and representative images. The information is displayed as kanji cards to offer a versatile format that can be easily integrated into Web-based language learning applications. We will make the data publicly available in JSON format together with a simple Web application using templates to access and inspect the kanji cards. As two recent extensions we also introduce an iconic representation of the compositional layout and an evaluation environment focusing on handwritten kanji input by the learner.