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Statistical machine translation (SMT) is done by analysing existing translations and defining rules most suited to translating a particular sentence. Feeding the SMT more data in the required languages will give it a higher statistical probability of outputting a more accurate translation. However, whilst they can offer literal translations of content, some challenges still need to be addressed before they can replace human translators completely. For example, these machine translations can sometimes produce inaccurate results, mainly when Translation services Victoria idiomatic expressions or colloquialisms. Additionally, SMTs do not have the programmatic capability to understand nuances associated with the intent of content messaging and nuances related to localisation according to region
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