Identifying the Dominant Language of Web Page Using Supervised N-grams

Natural language processing is an emerging technology in linguistic industry and an aid to human-computer interaction in computer science. Language identification, on the other hand, is a form of pattern recognition that helps to identify predefined language of a web page and to predict the unknow...

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Main Authors:	Ng, Choon-Ching, Siau-Chuin, Liew, Wan Muhammad Syahrir, Wan Hussin, Tutut, Herawan
Format:	Article
Language:	English
Published:	Conference Publishing Services (CPS) 2013
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/6869/ http://umpir.ump.edu.my/id/eprint/6869/ http://umpir.ump.edu.my/id/eprint/6869/ http://umpir.ump.edu.my/id/eprint/6869/1/dentifying_the_Dominant_Language_of_Web_Page_Using_Supervised_N-grams.pdf

id	ump-6869
recordtype	eprints
spelling	ump-68692018-04-27T01:15:23Z http://umpir.ump.edu.my/id/eprint/6869/ Identifying the Dominant Language of Web Page Using Supervised N-grams Ng, Choon-Ching Siau-Chuin, Liew Wan Muhammad Syahrir, Wan Hussin Tutut, Herawan QA76 Computer software Natural language processing is an emerging technology in linguistic industry and an aid to human-computer interaction in computer science. Language identification, on the other hand, is a form of pattern recognition that helps to identify predefined language of a web page and to predict the unknown language of one particular text. Written texts are constructed by common features such as character, word and n-gram and these characteristics are unique among languages. From the experiment result, the performance of the supervised n-gram produces an accurate identification value and outperforms the distance measurement on Arabic script web pages. Conference Publishing Services (CPS) 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6869/1/dentifying_the_Dominant_Language_of_Web_Page_Using_Supervised_N-grams.pdf Ng, Choon-Ching and Siau-Chuin, Liew and Wan Muhammad Syahrir, Wan Hussin and Tutut, Herawan (2013) Identifying the Dominant Language of Web Page Using Supervised N-grams. 2012 International Conference on Advanced Computer Science Applications and Technologies. pp. 344-348. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6516378 10.1109/ACSAT.2012.74
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Ng, Choon-Ching Siau-Chuin, Liew Wan Muhammad Syahrir, Wan Hussin Tutut, Herawan Identifying the Dominant Language of Web Page Using Supervised N-grams
description	Natural language processing is an emerging technology in linguistic industry and an aid to human-computer interaction in computer science. Language identification, on the other hand, is a form of pattern recognition that helps to identify predefined language of a web page and to predict the unknown language of one particular text. Written texts are constructed by common features such as character, word and n-gram and these characteristics are unique among languages. From the experiment result, the performance of the supervised n-gram produces an accurate identification value and outperforms the distance measurement on Arabic script web pages.
format	Article
author	Ng, Choon-Ching Siau-Chuin, Liew Wan Muhammad Syahrir, Wan Hussin Tutut, Herawan
author_facet	Ng, Choon-Ching Siau-Chuin, Liew Wan Muhammad Syahrir, Wan Hussin Tutut, Herawan
author_sort	Ng, Choon-Ching
title	Identifying the Dominant Language of Web Page Using Supervised N-grams
title_short	Identifying the Dominant Language of Web Page Using Supervised N-grams
title_full	Identifying the Dominant Language of Web Page Using Supervised N-grams
title_fullStr	Identifying the Dominant Language of Web Page Using Supervised N-grams
title_full_unstemmed	Identifying the Dominant Language of Web Page Using Supervised N-grams
title_sort	identifying the dominant language of web page using supervised n-grams
publisher	Conference Publishing Services (CPS)
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6869/ http://umpir.ump.edu.my/id/eprint/6869/ http://umpir.ump.edu.my/id/eprint/6869/ http://umpir.ump.edu.my/id/eprint/6869/1/dentifying_the_Dominant_Language_of_Web_Page_Using_Supervised_N-grams.pdf
first_indexed	2023-09-18T22:03:02Z
last_indexed	2023-09-18T22:03:02Z
_version_	1777414525275865088

Identifying the Dominant Language of Web Page Using Supervised N-grams

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