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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| Format: | Article |
| Language: | en |
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Conference Publishing Services (CPS)
2013
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6869/1/dentifying_the_Dominant_Language_of_Web_Page_Using_Supervised_N-grams.pdf http://umpir.ump.edu.my/id/eprint/6869/ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6516378 |
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| 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 |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.6869 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2013 |
| publisher | Conference Publishing Services (CPS) |
| record_format | eprints |
| spelling | my.ump.umpir.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. (Published) http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6516378 10.1109/ACSAT.2012.74 |
| 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 |
| title | 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_short | Identifying the Dominant Language of Web Page Using Supervised N-grams |
| title_sort | identifying the dominant language of web page using supervised n-grams |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/6869/1/dentifying_the_Dominant_Language_of_Web_Page_Using_Supervised_N-grams.pdf http://umpir.ump.edu.my/id/eprint/6869/ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6516378 |
| url_provider | http://umpir.ump.edu.my/ |
