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Named Entity Recognition using Gazetteer Method and N-gram Technique for an Inflectional Language: A Hybrid Approach

by Arindam Dey, Bipul Syam Prukayastha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 9
Year of Publication: 2013
Authors: Arindam Dey, Bipul Syam Prukayastha
10.5120/14607-2859

Arindam Dey, Bipul Syam Prukayastha . Named Entity Recognition using Gazetteer Method and N-gram Technique for an Inflectional Language: A Hybrid Approach. International Journal of Computer Applications. 84, 9 ( December 2013), 31-35. DOI=10.5120/14607-2859

@article{ 10.5120/14607-2859,
author = { Arindam Dey, Bipul Syam Prukayastha },
title = { Named Entity Recognition using Gazetteer Method and N-gram Technique for an Inflectional Language: A Hybrid Approach },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 9 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number9/14607-2859/ },
doi = { 10.5120/14607-2859 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:29.932996+05:30
%A Arindam Dey
%A Bipul Syam Prukayastha
%T Named Entity Recognition using Gazetteer Method and N-gram Technique for an Inflectional Language: A Hybrid Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 9
%P 31-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Named Entity Recognition (NER) is a task to discover the Named Entities (NEs) in a document and then categorize these NEs into diverse Named Entity classes such as Name of Person, Location, River, Organization etc. Area of concentration is the performance of NER in the Indian languages (IL). Nepali is the target language. In this paper different technique of NER and a brief introduction of Gazetteer method and Hidden Markov Model especially n-gram technique has been described. Different types of problem faced in handling Nepali Grammar are also described.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Named Entities (NEs) Named Entity Recognition (NER) Indian Languages (ILs) and Hidden Markov Model (HMM).

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