As we have discussed in our previous articles, machine translation (MT) has become a tool for companies in today’s globalized economy, allowing them to reach a broader audience and increase revenue. The latest developments have led to what we now call neural machine translation (NMT) and Large Language Models (LLMs), which have transformed the way we

Machine translation (MT) has been crucial in facilitating modern communication and fostering global connectivity. Contrary to what the public might think, it emerged in the early 20th Century and has developed considerably over the years. But what exactly is machine translation? Simply put, MT involves the automatic production of a text in a target language

Localization means adapting a product or service for a specific language, culture, or target audience. By ensuring cultural relevance and clear communication in local languages, the product complies with regional regulations and enhances user experience. Localization helps businesses reach more people, keep customers happy, and stand out from competitors. In this article, we will give

MT State of the Art   The translation industry has undergone a remarkable evolution fuelled by technological innovations. For instance, nowadays, it is almost impossible to have a translation project without a translation memory (TM) or run translation projects without a Content Management System (CMS). Now, Machine Translation (MT), which has been met with skepticism