Improving language identification of web page using optimum profile
Language is an indispensable tool for human communication, and presently, the language that dominates the Internet is English. Language identification is the process of determining a predetermined language automatically from a given content (e.g., English, Malay, Danish, Estonian, Czech, Slovak, etc...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Published: |
Springer
2011
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/44976/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.44976 |
---|---|
record_format |
eprints |
spelling |
my.utm.449762017-01-31T06:09:26Z http://eprints.utm.my/id/eprint/44976/ Improving language identification of web page using optimum profile Ng, Choon-Ching Selamat, Ali P Language and Literature Language is an indispensable tool for human communication, and presently, the language that dominates the Internet is English. Language identification is the process of determining a predetermined language automatically from a given content (e.g., English, Malay, Danish, Estonian, Czech, Slovak, etc.). The ability to identify other languages in relation to English is highly desirable. It is the goal of this research to improve the method used to achieve this end. Three methods have been studied in this research are distance measurement, Boolean method, and the proposed method, namely, optimum profile. From the initial experiments, we have found that, distance measurement and Boolean method is not reliable in the European web page identification. Therefore, we propose optimum profile which is using N-grams frequency and N-grams position to do web page language identification. The result show that the proposed method gives the highest performance with accuracy 91.52%. Springer 2011 Article PeerReviewed Ng, Choon-Ching and Selamat, Ali (2011) Improving language identification of web page using optimum profile. Communications in Computer and Information Science, 180 (2). pp. 157-166. ISSN 1865-0929 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
P Language and Literature |
spellingShingle |
P Language and Literature Ng, Choon-Ching Selamat, Ali Improving language identification of web page using optimum profile |
description |
Language is an indispensable tool for human communication, and presently, the language that dominates the Internet is English. Language identification is the process of determining a predetermined language automatically from a given content (e.g., English, Malay, Danish, Estonian, Czech, Slovak, etc.). The ability to identify other languages in relation to English is highly desirable. It is the goal of this research to improve the method used to achieve this end. Three methods have been studied in this research are distance measurement, Boolean method, and the proposed method, namely, optimum profile. From the initial experiments, we have found that, distance measurement and Boolean method is not reliable in the European web page identification. Therefore, we propose optimum profile which is using N-grams frequency and N-grams position to do web page language identification. The result show that the proposed method gives the highest performance with accuracy 91.52%. |
format |
Article |
author |
Ng, Choon-Ching Selamat, Ali |
author_facet |
Ng, Choon-Ching Selamat, Ali |
author_sort |
Ng, Choon-Ching |
title |
Improving language identification of web page using optimum profile |
title_short |
Improving language identification of web page using optimum profile |
title_full |
Improving language identification of web page using optimum profile |
title_fullStr |
Improving language identification of web page using optimum profile |
title_full_unstemmed |
Improving language identification of web page using optimum profile |
title_sort |
improving language identification of web page using optimum profile |
publisher |
Springer |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/44976/ |
_version_ |
1643651604027539456 |
score |
13.211869 |