Study on part of speech tagging method based on BP-HMM
Dong Yue-hu · Jisuanji gongcheng yu sheji · 2014
The traditional HMM model has bad performance in tagging double words and the corresponding pos with huge difference between models.a kind of annotation model for part-of-speech tagging algorithm using hybrid BP-HMM part of speech is put forward,the algorithm through the BP network good discrimination ability effectively compensates for the HMM in the multi-category word tagging problems,while also using HMM to enhance the modeling ability of BP network.The experimental results show that,the model is compared with the traditional HMM and BP network model,modeling,classification and adaptability have been greatly enhanced,the accuracy rate of 2%~7% has also been improved.