Machine vs. Human Translation
Are human translation services dead? Not quite. Nevertheless, machine translation (or online translation when used via a website such as Google Translate) has become increasingly important in today’s business world, as companies seek to communicate with customers, partners, and employees in multiple languages and across borders. Machine translation technology has advanced significantly in recent years, with major improvements in accuracy, speed, and functionality. As a result, businesses are increasingly using machine translation to support global expansion, improve customer experience, and streamline operations.
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While machine translation has many benefits for businesses, it is important to use it judiciously and in combination with human review and editing where necessary, to ensure accuracy, quality, and appropriate cultural sensitivity.
What is Human Translation?
Human translation refers to the process of translating text or speech from one language to another by a human translator who is proficient in both the source and target languages. Human translation service is a highly skilled process that requires not only linguistic expertise but also cultural knowledge and understanding. Unlike machine translation, which uses computer algorithms to translate text, human translation services involve a person who can interpret and convey the meaning, tone, and nuances of the original text in a way that is accurate, natural, and culturally appropriate in the target language. Also referred to as professional translation, human translation can be used for a wide range of materials, such as documents, websites, books, legal agreements, and marketing materials, among others.
What is Machine Translation?
Machine translation is a process of translating text or speech from one language to another using computer algorithms, without the need for human involvement. It involves the use of software that applies rules-based or statistical models to analyse and translate text. The software scans the input text, breaks it down into its constituent parts, such as words, phrases, and sentences, and then uses various techniques to determine the best way to translate them into the target language.
