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Machine translation (MT) is currently being employed in areas like customer support, e-commerce, healthcare, education, government resources, instruction manuals and social media in order to enable multilingual communication in a…
Before neural networks took over, machines learned to translate by looking at patterns in large sets of human-translated texts. This approach is called Statistical Machine Translation (SMT). It was a…
Translating a website is no small feat. Your focus is constantly split between translating content, tweaking layouts to fit new languages, maintaining SEO, and creating a seamless user experience. Managing…
Some types of machine translation systems follow strict grammar rules. Others rely on stats. Today’s most advanced ones use deep learning to mimic how humans speak. Each type has strengths,…
Neural machine translation (NMT) sounds technical and complex. But at its core, it’s just how modern AI translates one language into another. If you’ve ever used Google Translate, watched subtitles…
Marketing translation works like a bridge between cultures. A sturdy bridge can carry your ideas and messages safely across. But a shaky one built on weak foundations? It can damage…
Natural language processing. Large language models. Two terms you’ve probably seen tossed around in AI conversations. Sometimes they’re even used like they mean the same thing. But they don’t. For…
How accurate are LLMs when translating text? It’s a fair question, one that’s becoming increasingly important as AI translation tools keep getting better and companies look for new ways to…
