Automatic Detection of Chinese Transcription of English Personal Names based on Regular Expression Matching of Consonant Clusters

DOI

10.2991/aeece-16.2016.51How to use a DOI?

Keywords

English personal name; Chinese transcription; consonant cluster; Regular expression.

Abstract

Automatic detection of the transcription of personal names in different languages is a key component for cross-lingual information retrieval systems. A plenty of complex machine learning algorithms have been employed in machine transliteration tasks with considerable computational costs. We propose an efficient linguistics-based solution for recognizing its Chinese transcription for an English personal name with little computational burden. A phonological knowledge-base for mapping English phonetic representation to Chinese phonetic representation is constructed offline firstly, and then a lenient matching scheme based on consonant cluster skeleton implemented by fuzzy regular expression matching is carried out during online processing. An experiment achieving state-of-the-art performance shows its efficiency and effectiveness.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenxin Xiong
PY  - 2016/07
DA  - 2016/07
TI  - Automatic Detection of Chinese Transcription of English Personal Names based on Regular Expression Matching of Consonant Clusters
BT  - Proceedings of the 2016 2nd International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE 2016)
PB  - Atlantis Press
SP  - 248
EP  - 251
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeece-16.2016.51
DO  - 10.2991/aeece-16.2016.51
ID  - Xiong2016/07
ER  -