@inproceedings{wang-keuleers-2024-simplified,
    title = "Simplified {C}hinese Character Distance Based on Ideographic Description Sequences",
    author = "Wang, Yixia  and
      Keuleers, Emmanuel",
    editor = "Gorman, Kyle  and
      Prud'hommeaux, Emily  and
      Roark, Brian  and
      Sproat, Richard",
    booktitle = "Proceedings of the Second Workshop on Computation and Written Language (CAWL) @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.cawl-1.8",
    pages = "59--66",
    abstract = "Character encoding systems have long overlooked the internal structure of characters. Ideographic Description Sequences, which explicitly represent spatial relations between character components, are a potential solution to this problem. In this paper, we illustrate the utility of Ideographic Description Sequences in computing edit distance and finding orthographic neighbors for Simplified Chinese characters. In addition, we explore the possibility of using Ideographic Description Sequences to encode spatial relations between components in other scripts.",
}

Character encoding systems have long overlooked the internal structure of characters. Ideographic Description Sequences, which explicitly represent spatial relations between character components, are a potential solution to this problem. In this paper, we illustrate the utility of Ideographic Description Sequences in computing edit distance and finding orthographic neighbors for Simplified Chinese characters. In addition, we explore the possibility of using Ideographic Description Sequences to encode spatial relations between components in other scripts.
Wang, Yixia Keuleers, Emmanuel
Simplified Chinese Character Distance Based on Ideographic Description Sequences