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Published in:
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2015 | OriginalPaper | Chapter

Building a Collation Element Table for a Large Chinese Character Set in YES

Authors : Xiaoheng Zhang, Xiaotong Li

Published in: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Publisher: Springer International Publishing

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Abstract

YES is a simplified stroke-based method for sorting Chinese characters. It is free from stroke counting and grouping, and thus much faster and more accurate than the traditional method. This paper presents a collation element table built in YES for a large joint Chinese character set covering (a) all 20,902 characters of Unicode CJK Unified Ideographs, (b) all 11,408 characters in the Complete List of Chinese Characters Used by the Media in 2013, (c) all 13,000 plus characters in the latest versions of Xinhua Dictionary(v11) and Contemporary Chinese Dictionary(v6). Of the 20,902 Chinese characters in Unicode, 97.23% have one-to-one relationship with their stroke order codes in YES, comparing with 90.69% of the traditional method. Enhanced with the secondary and tertiary sorting levels of stroke layout and Unicode value, there is a guarantee of one-to-one relationship between the characters and collation elements. The collation element table has been successfully applied to sorting CC-CEDICT, a Chinese-English dictionary of over 112,000 word entries.

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next chapter Improved Learning of Chinese Word Embeddings with Semantic Knowledge
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Metadata
Title
Building a Collation Element Table for a Large Chinese Character Set in YES
Authors
Xiaoheng Zhang
Xiaotong Li
Copyright Year
2015
Book
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Print ISBN: 978-3-319-25815-7

Electronic ISBN: 978-3-319-25816-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-25816-4_1

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