Is there something that can help businesses meet the demand? The solution is already in place, Artificial Intelligence or AI.
Statistics show that around 46% of consumers are more likely to buy a product or sign up for a service when it is advertised in their native language. As we progress towards a more globalised market, the need for content translation will only grow. It is undoubtedly that there will come a time when human translators will not be enough to meet the demand.
AI has been a great disruptor and it has been altering the world we live in since the 50’s. AI has greatly influenced the technology industry. Now it is making its way into several other areas, from education to healthcare. The translation industry is no exception and seeing tremendous impact. Marketers facing the challenge of having to deliver multi-lingual campaigns are some of its major beneficiaries. Elite Asia utilises its own AI translation software to create multilingual marketing materials, promoting trust and boosting brand recognition over time.
AI-based translation can be seen even in day-to-day life. Google Translate is the most common example of an AI-powered application. The application is not carried out by human translators working at Google, it is all AI.
AI is no longer limited to a particular form. It is moving away from the more rigid versions of the past to something called “Deep Learning AI”. Deep Learning is the closest thing we have to human-like AI, which makes it ideal for e-Learning translation. It fuels the creation of machine translation, something that the industry already relies on heavily for speed and accuracy.
The Google Neural Machine Translation System, developed about two years ago, is relatively more accurate with its translation compared to the older Phrase-Based Machine Translation System. Supporting the widely used Google Translate, the system is currently loaded with 8 language pairs.
Microsoft is not far behind either. The tech-giant developed an AI-based machine translation technology that is capable of recognising Standard Chinese spoken by a learner. It studies and measures everything from rhythm and pronunciation to even tone by comparing all of it with that of a native speaker’s. It then shows the learners where they can make improvements.
AI-powered translation will continue to revolutionise the translation industry. However, whether it can replace human translators is debatable. Yet, there is a consensus that the gap it filling up in an industry is only going to get more demanding.
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