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A structural query system for Han characters

  • Matthew Skala
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 127-159

Journal (Volume, Issue Number)

International Journal of Asian Language Processing (Volume 23, Issue 2)

Publication milestones

  • Accepted/In press - 10/2015
  • Published - 01/2016

Publication status

Published - 01/2016

ISSN

0219-5968

Abstract

The IDSgrep structural query system for Han character dictionaries is presented. This dictionary search system represents the spatial structure of Han characters using Extended Ideographic Description Sequences (EIDSes), a data model and syntax based on the Unicode IDS concept. It includes a query language for EIDS databases, with a freely available implementation and format translation from popular third-party IDS and XML character databases. The system is designed to suit the needs of font developers and foreign language learners. The search algorithm includes a bit vector index inspired by Bloom filters to support faster query operations. Experimental results are presented, evaluating the effect of the indexing on query performance.