Paper Info
Title
An auxiliary unicode Han character lookup service based on glyph shape similarity
Abstract
Most legacy computer systems only well support input and display of 20,902 Han characters (Hanzis for short) encoded in Unicode 1.0. In 2010, Unicode 6.0 has encoded 75,616 Hanzis. However, it is not easy to use these newly encoded Hanzis, even in the latest computers. Most of these newly encoded Hanzis are rarely used in daily lives. Some are only used in ancient literature or individual Sinospherical countries. Users may have confusion of their glyph shapes, pronunciations, meanings, and usages. Most Chinese IMEs (input method editors) require users to have good knowledge of Hanzis. As a result, users cannot input these Hanzis. We present an auxiliary Unicode Hanzi lookup service based on glyph shape similarity. One can key in a similar Hanzi by any IME to look up the wanted Hanzi. Each Unicode Hanzi is decomposed as a glyph expression. The similarity of glyph shapes of two Hanzis is calculated based on a derived edit distance on their glyph expressions. As a result, the system provides users a convenient way to look up unfamiliar Hanzis.
Year
DOI
Venue
2011
10.1109/ISCIT.2011.6092155
ISCIT
Keywords
Field
DocType
computers,encoding,chinese input method editors,han characters,hanzis,sinospherical countries,unicode 1.0,unicode 6.0,ancient literature,auxiliary unicode han character lookup service,computer systems,glyph shape,han character lookup,hanzi,unicode,edit distance,glyph expression,shape,optical character recognition,databases,information processing
Glyph,Edit distance,Expression (mathematics),Computer science,Computer network,Natural language processing,Artificial intelligence,Unicode,Information processing,Input method,Speech recognition,Unicode font,Encoding (memory)
Conference
ISBN
Citations 
PageRank 
978-1-4577-1294-4
1
0.37
References 
Authors
2
2
Name
Order
Citations
PageRank
Jeng-Wei Lin1357.52
Feng-Sheng Lin2132.03