|Author||Singh, Umrinderpal ♦ Goyal, Vishal ♦ Lehal, Gurpreet Singh|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Entity Recognition System ♦ Machine Translation ♦ Relevant Solution ♦ Various Natural Language Processing ♦ Various Rule ♦ Information Extraction ♦ Urdu Text ♦ Major Role ♦ Named Entity ♦ Entity Recognition ♦ Urdu Language ♦ Question Answering ♦ Different Category|
|Abstract||Named Entity Recognition (NER) is a task which helps in finding out Persons name, Location names, Brand names, Abbreviations, Date, Time etc and classifies them into predefined different categories. NER plays a major role in various Natural Language Processing (NLP) fields like Information Extraction, Machine Translations and Question Answering. This paper describes the problems of NER in the context of Urdu Language and provides relevant solutions. The system is developed to tag thirteen different Named Entities (NE), twelve NE proposed by IJCNLP-08 and Izaafats. We have used the Rule Based approach and developed the various rules to extract the Named Entities in the given Urdu text.|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Education Level||UG and PG ♦ Career/Technical Study|
|Learning Resource Type||Article|
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