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CLIENT: Fundación Empujar
SERVICE: Hybrid AI Translation
DOCUMENTS: Institutional Presentation
VOLUME: 1 PPT Document

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AI and linguistics have an intertwined relationship. Not only are they both integral to the development of natural language processing (NLP) technology, but AI also relies heavily on linguistic principles for its effective operation. AI employs language models trained using corpus-based statistical methods to replicate human speech patterns and produce outputs imitating natural language behavior. At the same time, linguists are studying how humans and machines use language to better understand the nuances of language. AI helps facilitate this exploration by allowing for quick analysis of large volumes of data. As a result, both fields can benefit from each other’s insights to create more effective communication systems and technologies.

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When the time to get a document translated comes up, it is important to make sure you know what you are getting. Nowadays, artificial intelligence (AI) has gotten advanced enough to be employed in the translation of texts, but it still has some limitations.

While AI can be handy to a certain extent, it falls short when accurately capturing the nuances and riches of a language. Natural language, with its idiomatic expressions, colloquialisms, and contextual cues, can be a challenge to the stiff algorithms that AI relies on. As a result, while a translation provided by AI may be correct from a technical standpoint, it may seem stilted or unnatural to a native reader.

In this article, we’ll share some tips to help you distinguish whether a document was translated by a human or through machine 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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