Name Origin Recognition in Chinese Texts Based on Conditional Random Fields
- Jing Zhang, Jian Xu, Yujie Zhang
- Corresponding Author
- Jing Zhang
Available Online October 2013.
- https://doi.org/10.2991/isca-13.2013.23How to use a DOI?
- Name Origin Recognition, Conditional Random Fields, Natural Language Processing
- 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.
- 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 SN - 1951-6851 UR - https://doi.org/10.2991/isca-13.2013.23 DO - https://doi.org/10.2991/isca-13.2013.23 ID - Zhang2013/10 ER -