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Named Entity Recognition in Assamese

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Padmaja Sharma, Utpal Sharma, Jugal Kalita

Utpal Sharma Padmaja Sharma and Jugal Kalita. Named Entity Recognition in Assamese. International Journal of Computer Applications 142(8):1-8, May 2016. BibTeX

	author = {Padmaja Sharma, Utpal Sharma and Jugal Kalita},
	title = {Named Entity Recognition in Assamese},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2016},
	volume = {142},
	number = {8},
	month = {May},
	year = {2016},
	issn = {0975-8887},
	pages = {1-8},
	numpages = {8},
	url = {},
	doi = {10.5120/ijca2016909885},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Named Entity Recognition is a process through which a program extracts proper nouns in texts and associates them with a proper tag. NER has made significant progress in European languages, but in Indian languages due to the lack of effort as well as proper resources, it remains a challenging task. Recognizing ambiguities and assigning the correct tags to the names is the main goal of NER. Thus NER can be defined as identification of the proper nouns and the classification of these nouns into classes such as person, location, organization and miscellaneous including date, time and year. The main aim of this work is to develop a computational system that can perform NER in text in Assamese, which is a resource poor Indo-Aryan language. This article present an overview of NER and its issues in the context of Assamese, and also the work done in Assamese using various approaches.


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Named Entity Recognition, Assamese Corpora