NLP: Rule Based Name Entity Recognition

Named Entity Recognition (NER) is an information extraction task aimed at identifying and classifying words of a sentence, a paragraph or a document into predefined categories of Named Entities (NEs). NEs are terms that are used to name a person, location or organization. They are also used to refer to the value or amount of something. NER is an important tool in almost all NLP application areas out of which it is very essential in Search Engines (Semantic based), Machine Translation, and Question-Answering, Indexing for Information Retrieval and Automatic Summarization systems. This paper presents Rule-based approach for the development of Named Entity Recognition (NER) system for Afan Oromo language.