@inproceedings{winiwarter-wloka-2022-viscose,
    title = "{VISCOSE} - a Kanji Dictionary Enriched with {VIS}ual, {CO}mpositional, and {SE}mantic Information",
    author = {Winiwarter, Werner  and
      Wloka, Bartholom{\"a}us},
    editor = "Zock, Michael  and
      Chersoni, Emmanuele  and
      Hsu, Yu-Yin  and
      Santus, Enrico",
    booktitle = "Proceedings of the Workshop on Cognitive Aspects of the Lexicon",
    month = nov,
    year = "2022",
    address = "Taipei, Taiwan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.cogalex-1.9/",
    doi = "10.18653/v1/2022.cogalex-1.9",
    pages = "68--77",
    abstract = "In this paper, we present a novel approach for building kanji dictionaries by enriching the lexical data of 3,500 kanji with images, structural decompositions, and semantically based cross-media mappings from the textual to the visual dimension. Our kanji dictionary is part of a Web-based contextual language learning environment based on augmented browsing technology. We display our multimodal kanji information as kanji cards in the Web browser, offering a versatile representation that can be integrated into other advanced creative language learning applications, such as memorization puzzles, creative storytelling assignments, or educational games."
}