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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Hany Hassan Awadalla</author_name><author_url>https://www.microsoft.com/en-us/research/people/hanyh/</author_url><title>Exploiting Alignment Techniques in MATREX - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="LWFVtIDMcb"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/exploiting-alignment-techniques-matrex/"&gt;Exploiting Alignment Techniques in MATREX&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/exploiting-alignment-techniques-matrex/embed/#?secret=LWFVtIDMcb" width="600" height="338" title="&#x201C;Exploiting Alignment Techniques in MATREX&#x201D; &#x2014; Microsoft Research" data-secret="LWFVtIDMcb" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>In this paper, we give a description of the machine translation (MT) system developed at DCU that was used for our third participation in the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT 2008). In this participation, we focus on various techniques for word and phrase alignment to improve system quality. Specifically, [&hellip;]</description></oembed>
