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How does machine translation software work?    

Some machine translation software carries out translations based on rules. This means that the software will interpret the grammar of the content so that a grammatical structure of each sentence can be derived. This information is translated using the grammar structure of the target language.
Another way that machine translation software works is through statistics. In this case, a large amount of data is saved, and whenever an inquiry is made, the software checks statistical correlation tables. The statistical information shows the appropriate selection for a word, phrase and sentence in one language to another.
An ideal software translation would be one which is both rule-based and statistically-based.
Another example of how some translation software works is the example-based machine translation. This method requires a bilingual text corpus. As opposed to the statistically-based approach, this example-based approach uses the saved data as a knowledge base. Translations are derived directly from this knowledge base through matching instances of parallel structures of source text and translation found in the corpus.

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Written by Denyse Lum

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