Myanmar Named Entity Recognition with Hidden Markov Model (original) (raw)

2019, International Journal of Trend in Scientific Research and Development

Named Entity Recognition is the process to detect Named Entities (NEs) in a file , document or from a corpus and to categorize them into certain Named entity classes like name of city, State, Country, organization, person, location, sport, river, quantity etc. This paper introduces the Named Entities Recognition (NER) for Myanmar language using Hidden Markov Model (HMM).The main idea behind the use of HMM language independent and we can apply this system for any language domain. The corpus used by our NER system is also not domain specific.