Research of POS Tagging Rules Mining Algorithm

DOI

10.2991/iccsee.2013.488How to use a DOI?

Keywords

Automatic annotation, Rule method, POS Tagging Rule

Abstract

Part of speech contains important grammatical information, so it has great significance for the natural language understanding while the words in the sentence are marked on the parts of speech. POS tagging rules based on statistical methods and rule-based method can mining effectively, but its marked accuracy need to be improved. This paper presents a statistical method and rules of the combination of speech tagging rule mining algorithm in order to improve the correct rate of marked.

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  - Shaohong Yin
AU  - Guidan Fan
PY  - 2013/03
DA  - 2013/03
TI  - Research of POS Tagging Rules Mining Algorithm
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1945
EP  - 1947
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.488
DO  - 10.2991/iccsee.2013.488
ID  - Yin2013/03
ER  -