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Developed by the linguist Edward Sapir in 1929, the Sapir-Whorf hypothesis states that the structure of a language determines the perception and interpretation each native speaker has of every experience they go through.

This theory, which created controversy, sustains that speakers of different languages perceive the world in different ways. And, in fact, subsequent researches have added evidence supporting such a hypothesis. How does that influence our time and space perception?

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Multilingualism enhances our empathy, opens up better job prospects, and allows us to make more precise decisions. These advantages, among others, are closely linked to how the acquisition of two or more languages influences the structure of our brain.

What sets the brains of bilingual and multilingual individuals apart from those of monolinguals?

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As the processing power of computers has advanced, so has the development of artificial intelligence (AI). AI refers to machines’ ability to perform tasks previously thought to require human intelligence. Various industries, including video games, language translation, and robotics, have already embraced AI. Moreover, with ongoing advancements like ChatGPT and new AI capabilities emerging daily, almost every industry stands to benefit.

The recent advancements in AI technology have sparked significant interest in adopting machine translation, prompting linguistic professionals to increasingly rely on AI for enhanced productivity. How does this dynamic relationship work, and what strategies can professionals employ to get successful outcomes out of AI translation?

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The Generative Pre-training Transformer chat —commonly known as ChatGPT— is an artificial intelligence chatbot that allows users to ask questions using conversational or natural language. Developed by the company OpenAI, ChatGPT was released in November, 2022, with the aim of generating human-like text that may be used for a variety of applications, such as automated content creation.

In the face of such advances in artificial intelligence, many professionals and organizations are asking themselves: is this really a tool that came to replace flesh-and-blood translators?

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