CRF based Name Entity Recognition (NER) in Manipuri: A highly agglutinative Indian Language

This paper deals about the Name Entity Recognition (NER) of Manipuri, a highly agglutinative Indian Language. This language is an Eight Scheduled Language of Indian Constitution. NER plays an important role in the applications of Natural Language Processing like Machine Translation, Part of Speech tagging, Information Retrieval, Question Answering etc. Feature selection is an important factor in recognition of Manipuri Name Entity using Conditional Random Field (CRF). This model proved to have a Recall of 81.12%, Precision of 85.67% and F-Score of 83.33%.