A translator should be ready with the differences. The best theory for this case is to limit the expertise to only one or two language pairs.
The quality of translation in several language pairs is considered successful but there are still problems in certain pairs which are about limited sources involved in the MT big data and the different rules that cause more complex processing of a language to the target.
The market size of the translation industry is peaking and not going to stop yet. With a worldwide market valuation of about 40 billion USD in 2022, the business continues to grow with a 2,1% increase each year.
Both human translation and machine translation have their own benefit and limitation.
The values in the Pappasang To Riolo are likely reflective thoughts of the Bugis people.
The different backgrounds, social classes, generations, and even regions will see different meanings of things so they can make different translations of them. Yet there are several basics that a translator should not miss to stick on quality.
The process of active learning technology is almost similar to how our brains do translation. That’s why it is also called nerve process translation.
Machine translation is one the most important innovation that helps many people solve their problems in communication, i.e. the language barrier. This is actually not a new thing since the first machine translation was actually developed almost 100 hundred years ago. The purpose was the same as today which is to help people understand other
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