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Frantz Kanter

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Jul 10, 2024, 4:17:57 AM7/10/24

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Unfortunately, no. While there are some instances where machine translation will suffice, relying solely on this technology rather than translation services could spell disaster for your company. In this article, we will examine what machine translation is, when you can and cannot rely on it, and the future of automated translation.

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Machine translation, also called MT, is a translation that is automatically done using software programs. Sometimes, these programs are used as a fully automated process, with no human involvement at all. Other times, they are integrated as a semi-automated translation tool. A human translator completes the translated data by correcting errors in the text and localizing the content. Hence, it is appropriate for the culture of the target audience.

Modern machine translation uses artificial intelligence (AI) called deep learning. This AI type mimics human neurons and is also often called neural networking. A program uses specific algorithms to learn information rapidly, sorting through millions of characters and identifying sentence strings instead of just individual words. While this technology takes massive amounts of data, cloud computing has made it possible to achieve higher accuracy than ever. This has influenced industries like advanced medicine and the stock market and has had an incredible impact on language translation.

The Internet of Things (IoT) has improved machine translation tremendously, allowing machines to pick up subtleties in grammar and expressions. Because it can quickly translate vast amounts of data, it can be a cost-effective way to start a major translation project. It is handy for content where accuracy may not be as important as personal emails, blog comments, message boards, or general content being read for personal enrichment. It is also excellent for travelers and language students. The quality is less than perfect, but its benefits for personal use are outstanding.

In recent years, organizations have used tools like Google Translate and Microsoft Translator. In contrast, many promising plug-ins such as Lingotech, Babble, qTranslate-X, and others have popped up to assist users in website and blog translation. These amazing tools can bridge the communication gap between you and your overseas audience. But they are also still lacking.

Machine translation has improved dramatically over the years and will continue to evolve. However, there are some serious flaws in the system. Using machine translation for your multilingual website instead of a translation agency is generally a bad idea.

Machine translation is part of the natural language processing industry. This industry is expected to be worth around $2.1 billion by 2024. The process by which machine translation apps learn new language patterns is ongoing and continuous. We will see steady improvement in this technology area for many years, and it will likely become an everyday part of our lives.

Louise Taylor is the head of content for Tomedes, where she manages its blog and business translation center. Tomedes is a translation company with a worldwide client base, serving customers with translations in 90+ languages.