#Google translate pro professional#
A professional translator has the ability to identify the context based on what they know about the conversation and select the correct word for translation. For example, the word record can mean a record of something (such as a historical record), or it can mean to record something. Many languages have words with more than one meaning, so context is very important to the accuracy of the translation. But in settings such as business, healthcare, and legal, there are several reasons why professional human translators will continue to exceed the limits of tools like Google Translate. They might even seem like a cost-effective way to speed up translation. Machine learning and AI have undoubtedly come a long way over the last few decades.
#Google translate pro software#
Software Alone Can't Replace Human Translation Here are the top reasons why a professional linguist should be involved in your health system's translation needs: 1. It's these seeming small errors that can cause major miscommunication between caregivers and patients. Do not take anymore soybean until your doctor reviews the results.” Do not take any more Coumadin until your doctor reviews the results.” It was translated into Chinese as “Your soybean level was too high today. Even more common languages like Chinese were found to have discrepancies An instruction for a patient taking Coumadin read “Your Coumadin level was too high today. For example, Farsi and Armenian measured only 67% and 55% accurate, respectively. In a recent study that evaluated 400 emergency department discharge instructions, it was found that Google Translate's accuracy varied between languages. Unfortunately, there are many reasons why this (and other free online translation services) simply can't measure up in comparison to professional translation services. Google even boasted in recent years about the expansion of its translation services from just three languages to more than 100. Since then, it has used artificial intelligence and machine learning to improve its translations. The program originally took information from United Nations and European Parliament documents to build its database. When Google Translate launched in 2006, it promised free and relatively easy online translation - just input text into the platform and select the languages you'd like to translate it to and from. Make sure your sensitive communications (like healthcare, financial services, and government) are culturally aware and contextually accurate. Technology can do amazing things, but when it comes to machine translation, there's still a long way to go.
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