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A generic framework for Arabic to English machine ... - Acsu Buffalo

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Table 7.3: Test : verb-subject; agreement 2<br />

<strong>Arabic</strong> <br />

h˘ āld qr֓a ālktāb<br />

human-translated Khalid read the book<br />

Google Khalid read the book<br />

Microsoft Khaled read book<br />

UniArab<br />

<strong>Arabic</strong><br />

Khalid read the book.<br />

<br />

human-translated Khalid will drink the milk<br />

Google Khalid drink milk.<br />

Microsoft Khaled drink milk.<br />

UniArab Khalid will drink the milk.<br />

syˇsrb h ˘ āld āllbn<br />

7.2. SENTENCE TESTS<br />

In Table 7.3, the output of the Google transla<strong>to</strong>r is successful. Microsoft’s MT failed <strong>to</strong><br />

translate the definition. UniArab successfully translates the sentence in its entirety. In<br />

the output of the second sentence, the Google transla<strong>to</strong>r is faulty in tense and definition.<br />

Microsoft’s MT failed <strong>to</strong> translate the tense and definition. UniArab successfully trans-<br />

lates the sentence in its entirety. This is becouse of the RRG lexicalist approach in the<br />

interlingua. Figures 7.3 and 7.4 show this sentence output in the UniArab system.<br />

Figure 7.3: Verb-subject agreement 1<br />

104

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