Parts of Speech Tagging using Conditional Random Field with Long Short Term Memory for English texts

with a rapid growth of technology and data there is a need of processing data with natural language processing techniques. for any type of natural language processing application Parts of Speech tagging is used as preprocessing step. Many algorithms have been proposed for tagging the information with necessary tags. Conditional Random Field is a Classification technique used for POS tagging. To improve the efficiency of the Conditional Random Field algorithm, Long Short Term Memory is used at one of the hidden layer of the Conditional Random Field. with this method good accuracy achieved when compare with these two CRF and LSTM Individually.