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\multicolumn{2}{c}{{\Large \textbf{A Survey on Discovering Parallel Text from the Web }}}\\
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\section*{Abstract}
Parallel corpora are valuable linguistic resources for various multilingual natural 
language processing. But for various resons, its availability is very limited.
So researchers are making their efforts to mine parallel texts from the World Wide Web,
which is a potential source of many parallel texts.
To Discover the parallel texts, the effient ways to generate candidate parallel documents pair 
were presented. 
And to verify that candidate parallel web documents pair is real parallel documents pair,
the detection methods were presented.

In this paper, I describe the two candidate parallel documents pair generation methods, 
one uses URL of the web document and the other uses the DOM Tree alignment of the web document.
Then, I describe the two methods to detect parallel texts, one uses the HTML structure of 
the web document and the other uses the content of the web document.


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\biblio
\begin{thebibliography}{9}
\bibitem{STRAND}
Philip Resnik, Noah A. Smith.
The Web as a parallel corpus.
Computational Lingustics,Volume29, Issue 3 ,
2003.
\bibitem{DOMTree}
Lei Shi, Cheng Nie, Ming Zhou, Jianfeng Gao. 
A DOM Tree Alignment Model for Mining Parallel Data from the Web. 
In COLING-ACL 2006. 
\bibitem{BITS}
Ma Xiaoyi, Mark Liberman.
BITS: A Method for Bilingual Text Search over the Web.
In Machine Translation Summit VII, September,1999.
\bibitem{Fukushima}
Ken'ichi Fukushima, Kenjiro Taura, Takashi Chikayama. 
A fast and accurate method for detecting English-Japanese parallel texts. 
In Proceedings of the COLING/ACL Workshop on Multilingal Language Resources and Interoperability (MLRI 2006), Sydney, Australia, July 2006.
\bibitem{PTI}
Chen,J., R. Chau, and C.-H. Yeh. 
Discovering Parallel Text from the World Wide Web.
In Proceedings of the second workshop on Aistralasian Information Security, Data Mining and Web Inteligence,and Software Internationalization.
1991.
\end{thebibliography}

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