Natural language processing gives a voice to digital processes As encouraging as this may be, it’s important to remember that AI translators can still make mistakes, and machines will never understand human speech in the same way that people do. This means that, unlike word-for-word translations, Google will be able to use context to inform its output. Its live transcription feature will constantly evaluate sentences, continuously correcting word choices, adding punctuation, and taking accents and regional dialects into account. These impressive technological developments also mean that Google Translate is going to produce more accurate content than it ever did before. Better technology doesn’t eliminate mistakes In 2018, Google’s CEO Sundar Pichai reported that the program was translating 143 billion words daily, but the meticulous power of its new technology means Google Translate’s popularity will surely grow and attract even more users. When it comes to far-flung holidays, over 60% of 16-34 year-olds use their smartphones to translate the local language, and as noted by Raconteur, AI-enabled apps like Google Translate have “helped bring down the cost of translation dramatically” for businesses working on an international scale. The key difference is that the app is poised to produce even more accurate results, and despite the fact foreign language learning in the UK is at its lowest level since 2000, more people than ever need to communicate in different languages, making the app particularly useful. The software remains free, easy to use, and provides users with instant translations. It’s not hard to see why Google Translate’s latest update is so appealing to consumers. If users can obtain instant language solutions without paying a penny, is there still a place for expert linguists in the translation market? Improved accuracy and instant results have mass appeal Though there is no fixed launch date - Google has only revealed that the feature will be released “in the future” - this is an exciting development in AI translation technology, but one which has raised serious questions over the future of professional linguistic services.
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