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.- Anthology ID:
- 2022.cogalex-1.9
- Volume:
- Proceedings of the Workshop on Cognitive Aspects of the Lexicon
- Month:
- November
- Year:
- 2022
- Address:
- Taipei, Taiwan
- Venue:
- CogALex
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 68–77
- Language:
- URL:
- https://aclanthology.org/2022.cogalex-1.9
- DOI:
- Cite (ACL):
- Werner Winiwarter and Bartholomäus Wloka. 2022. VISCOSE - a Kanji Dictionary Enriched with VISual, COmpositional, and SEmantic Information. In Proceedings of the Workshop on Cognitive Aspects of the Lexicon, pages 68–77, Taipei, Taiwan. Association for Computational Linguistics.
- Cite (Informal):
- VISCOSE - a Kanji Dictionary Enriched with VISual, COmpositional, and SEmantic Information (Winiwarter & Wloka, CogALex 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.cogalex-1.9.pdf