Named Entity Recognition using Gazetteer Method and N-gram Technique for an Inflectional Language: A Hybrid Approach
Arindam Dey, Bipul Syam Prukayastha · International Journal of Computer Applications · 2013
Named Entity Recognition (NER) is a task to discover the Named Entities (NEs) in a document and then categorize these NEs into diverse Named Entity classes such as Name of Person, Location, River, Organization etc. Area of concentration is the performance of NER in the Indian languages (IL).Nepali is the target language.In this paper different technique of NER and a brief introduction of Gazetteer method and Hidden Markov Model especially ngram technique has been described.Different types of problem faced in handling Nepali Grammar are also described.