Name Origin Recognition in Chinese Texts Based on Conditional Random Fields

DOI

10.2991/isca-13.2013.23How to use a DOI?

Keywords

Name Origin Recognition, Conditional Random Fields, Natural Language Processing

Abstract

Name origin recognition is to identify the origin of a name. In natural language processing, information of name origin is an important feature for name entity translation and question answering. Language identification of the origins of names can help to know what language-specific transliteration approaches to use. While some early work used two main methods, which are based on rules and statistics. In this paper, we use the conditional random fields (CRFs) model and view the task as a labeling problem on a sequence of words, taking advantage of the ability of using arbitrary features as input in CRFs under the character-based framework. Experimental results show that CRFs model is effective in recognizing origins of personal names in Chinese texts.

Copyright

© 2013, 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/).

Download article (PDF)

TY  - CONF
AU  - Jing Zhang
AU  - Jian Xu
AU  - Yujie Zhang
PY  - 2013/10
DA  - 2013/10
TI  - Name Origin Recognition in Chinese Texts Based on Conditional Random Fields
BT  - Proceedings of 2013 International Conference on Information Science and Computer Applications
PB  - Atlantis Press
SP  - 129
EP  - 134
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.23
DO  - 10.2991/isca-13.2013.23
ID  - Zhang2013/10
ER  -