There are 4 posts tagged MTPE (this is page 1 of 1).
In today’s very globalized world, and amid unprecedented technological progress, the need for seamless communication across languages has never been greater. Machine Translation technology has, therefore, become a mainstream practice, and it has undergone a remarkable transformation, fueled by advancements presenting users with important features, such as consistency, speed, cost reduction, and productivity. But the […]
If you’ve ever copied a string of foreign text into Google Translate, you’re surely familiar with the Detect Language function of neural machine translation, the form of language AI that delivers everything from a quick lookup in another language to the raw MT in any machine translation post-editing (MTPE) localization project. Even if you don’t […]
When trying to understand the distinction between technology-driven translation solutions like machine translation (MT) and neural machine translation (NMT), it can be tempting to seek simpler analogies from beyond the realm of technology. Increasingly, though, parsing the respective advantages of these solutions requires an awareness of distinctions in machine learning and artificial intelligence that will […]
Like language AI, language data can be the basis for quite a range of things. Within localization, NMT (neural machine translation) and MTPE (machine translation post-editing) are the vanguard technologies for maximizing the automation of translation and other key processes involved in bringing content from one language to another. In this realm, language data-based AI […]
