Proceedings of 2013 International Conference on Information Science and Computer Applications

Name Origin Recognition in Chinese Texts Based on Conditional Random Fields

Authors
Jing Zhang, Jian Xu, Yujie Zhang
Corresponding Author
Jing Zhang
Available Online October 2013.
DOI
https://doi.org/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.
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Proceedings
2013 International Conference on Information Science and Computer Applications (ISCA 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90786-77-85-7
DOI
https://doi.org/10.2991/isca-13.2013.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2013 International Conference on Information Science and Computer Applications (ISCA 2013)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/isca-13.2013.23
DO  - https://doi.org/10.2991/isca-13.2013.23
ID  - Zhang2013/10
ER  -