In this paper, we present a system that automatically translates Arabic text embedded in images into English. The system consists of three components: text detection from images, character recognition, and machine translation. We formulate the text detection as a binary classification problem and ap
An automatic English-Arabic HTML page translation system
β Scribed by Rached N. Zantout; Ahmed A. Guessoum
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 506 KB
- Volume
- 24
- Category
- Article
- ISSN
- 1084-8045
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β¦ Synopsis
The Internet and the World Wide Web have become an integral part of everyday life, an important source of information and a communication medium. One of the main problems confronting non-English speakers in using the Internet is that it is heavily dominated by the English language. Knowledge of English is a prerequisite for using the Web efficiently and benefiting from the multitude of services it offers. This paper introduces the approach underlying a prototype system that translates Web pages from English to Arabic automatically. The system uses a commercial machine translation system to translate the textual part of a Web page. It then displays a Web page containing the Arabic translation with all tags inserted in the right places so that the layout and content of the original (English) page are preserved.
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