<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/9331" mdate="2007-12-22 00:00:00"> <author>Kashif Bilal and Uzair Muhammad and Atif Khan and M. Nasir Khan</author> <title>Extracting Multiword Expressions in Machine Translation from English to Urdu using Relational Data Approach</title> <pages>815 - 817</pages> <year>2007</year> <volume>1</volume> <number>12</number> <journal>International Journal of Cognitive and Language Sciences</journal> <ee>https://publications.waset.org/pdf/9331</ee> <url>https://publications.waset.org/vol/12</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Machine Translation, (hereafter in this document referred to as the &amp;quot;MT&amp;quot;) faces a lot of complex problems from its origination. Extracting multiword expressions is also one of the complex problems in MT. Finding multiword expressions during translating a sentence from English into Urdu, through existing solutions, takes a lot of time and occupies system resources. We have designed a simple relational data approach, in which we simply set a bit in dictionary (database) for multiword, to find and handle multiword expression. This approach handles multiword efficiently.</abstract> <index>Open Science Index 12, 2007</index> </article>