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Reseach Article

Named Entity Recognition for Punjabi Language Text Summarization

by Vishal Gupta, Gurpreet Singh Lehal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 3
Year of Publication: 2011
Authors: Vishal Gupta, Gurpreet Singh Lehal
10.5120/4001-5668

Vishal Gupta, Gurpreet Singh Lehal . Named Entity Recognition for Punjabi Language Text Summarization. International Journal of Computer Applications. 33, 3 ( November 2011), 28-32. DOI=10.5120/4001-5668

@article{ 10.5120/4001-5668,
author = { Vishal Gupta, Gurpreet Singh Lehal },
title = { Named Entity Recognition for Punjabi Language Text Summarization },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 3 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number3/4001-5668/ },
doi = { 10.5120/4001-5668 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:13.080407+05:30
%A Vishal Gupta
%A Gurpreet Singh Lehal
%T Named Entity Recognition for Punjabi Language Text Summarization
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 3
%P 28-32
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Named Entity Recognition (NER) is used to locate and classify atomic elements in text into predetermined classes such as the names of persons, organizations, locations, concepts etc. NER is used in many applications like text summarization, text classification, question answering and machine translation systems etc. For English a lot of work has already done in field of NER, where capitalization is a major clue for rules, whereas Indian Languages do not have such feature. This makes the task difficult for Indian languages. This paper explains the Named Entity Recognition System for Punjabi language text summarization. A Condition based approach has been used for developing NER system for Punjabi language. Various rules have been developed like prefix rule, suffix rule, propername rule, middlename rule and lastname rule. For implementing NER, various resources in Punjabi, have been developed like a list of prefix names, a list of suffix names, a list of proper names, middle names and last names. The Precision, Recall and F-Score for condition based NER approach are 89.32%, 83.4% and 86.25% respectively.

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Index Terms

Computer Science
Information Sciences

Keywords

Punjabi language Named Entity Recognition (NER) Condition based approach Punjabi proper nouns identification Named Entities (NE)etc.