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International Journal of Computer Applications
Article . 2016 . Peer-reviewed
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Named Entity Recognition in Assamese

Authors: Jugal Kalita; Utpal Sharma; Padmaja Sharma;

Named Entity Recognition in Assamese

Abstract

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold