• Sanjay Kumar Duppati
• Dr.A.Ramesh Babu

Named Entity Recognition (NER) is a key component in NLP systems for question answering, information retrieval, relation extraction, etc. NER systems have been studied and developed widely for decades. Machine learning and Statistical techniques are powerful analysis tools yet to be incorporated in the new multidisciplinary field diversely termed as natural language processing (NLP) or computational linguistic. The linguistic knowledge may be ambiguous or contains ambiguity; therefore, various NLP tasks are carried out in order to resolve the ambiguity in speech and language processing. In this paper, we explore various methods that are applied to solve NER and a survey is done on various approaches used to recognize name entity in various Indian languages.

Named Entity Recognition, natural language processing, Machine translate.

"A survey on Multingual name entity recognition using Natural language processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.d746-d754, October-2021, Available :http://www.jetir.org/papers/JETIR2110383.pdf

"A survey on Multingual name entity recognition using Natural language processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppd746-d754, October-2021, Available at : http://www.jetir.org/papers/JETIR2110383.pdf