Machine translation (MT) is an exciting technology based on artificial intelligence (AI), which can automatically translate text or speech from one language to another. This interest continues to ...

DeepL, the AI-driven translation company that is increasingly working with law firms – including Taylor Wessing – has announced a new ‘DeepL next-gen language model’, plus an API facility for its ...

It focuses on enhancing AI features and improving the phone’s camera. Let’s dive into what’s new. These tools aren’t entirely new—Google Translate ... From delving deep into the ...

The same narrative applies to the translation industry, where AI-driven solutions are judged more harshly than their human counterparts—despite evidence that human translators are far from perfect.

On Tuesday, Cologne, Germany-based DeepL, a language AI company, announced the ... English (British & US), Spanish, French, Italian, and Portuguese (Portuguese & Brazilian). DeepL API Pro users are ...

“AI and deep-learning tools are not magic,” said Kevin Coffey, a neuroscientist who helped create DeepSqueak, an AI model attempting to decipher ultrasonic animal communication. “They are not going to ...

This last factor, the growth of the machine translation market, is significant. Market Research Future valued the technology at $1.9 billion in 2023 and expects it to reach $3.9 billion this year and ...

For example, AI voice-over translation software can be trained to use your company’s preferred terminology and style. It can also adapt to regional dialects, like choosing between European Spanish or ...

But when translation has the potential to become a business advantage for the startup, it should not be an afterthought or an optional add-on. Instead, it should be a part of the company’s growth ...

And where it is ahead, based on previous tests, is in its unique ability to translate things like domain-specific terms, slang, and acronyms across multiple languages, a feature that the o1 and ...

NMT takes advantage of deep learning techniques that use context rather than simple word-to-word translations. The result is more accurate and fluent translations that capture the nuances of the ...