Research on Longest Backward Segmentation for Context
Authors
Huang Weichun, Jiang Jianjian
Corresponding Author
Huang Weichun
Available Online November 2013.
- DOI
- 10.2991/ccis-13.2013.95How to use a DOI?
- Keywords
- longest backward algorithm; Chinese word segmentation; matching algorithm
- Abstract
Segmentation is the basis of Chinese information processing. This paper presents us the algorithm about longest backward context for Chinese word segmentation, this method does not require labeling or semantic information, also not mechanically segment words, but automatically find word errors by real-time backtracking. Compared with simple matching algorithm, this method enhances the accuracy, adaptability and reduces some redundancy.
- 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/).
Cite this article
TY - CONF AU - Huang Weichun AU - Jiang Jianjian PY - 2013/11 DA - 2013/11 TI - Research on Longest Backward Segmentation for Context BT - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security PB - Atlantis Press SP - 412 EP - 415 SN - 1951-6851 UR - https://doi.org/10.2991/ccis-13.2013.95 DO - 10.2991/ccis-13.2013.95 ID - Weichun2013/11 ER -