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Have we discovered every ancient language ever spoken? Language has been our daily companion since day one of humankind’s career on Earth. Thanks to the efforts of thousands of researchers and users we know a lot about the rules of ancient languages and modern ones. But have we heard about every language ever spoken? The answer may shock you. Indo-European languages You may not have heard this name if you are not an academic, but despite its complex name, these languages are still alive and well! At least most of them, namely Albanian, Armenian, Balto-Slavic, Celtic, Germanic, Hellenic, Indo-Iranian and Italic groups. Nearly half of people on Earth speak an Indo-European language as their mother tongue. Why is this important for this article? It turns out that an excavation in Turkey discovered a new, unheard of Indo-European language! The discovery in Boğazköy-Hattusha For over 100 years, the UNESCO World Heritage

Battle of the Greats: CAT, MT and AI. Who is better for medical texts? Part 2. Last week, we analysed the process of translating medical texts from Polish to English using CAT, MT and AI. You can check it out here. This time, we took English to Polish translation to the test. The graph below presents the time spent on translation in each text category: Surprisingly, CAT and AI are tied when it comes to the time needed to complete the translation. MT was the fastest method, but CAT made it easier to achieve the best quality. AI was noticeably the most difficult to work within this category. Results were translated with MT a bit faster than with AI. In terms of quality, CAT was again at the top, with AI delivering the poorest results. Academic papers and abstracts were translated the fastest with MT, which also provided good-quality results.

Battle of the greats: CAT, MT and AI. Who is better for medical texts? Translating medical texts from one language to another is a complex task, requiring precision and perfect knowledge of both languages. In today’s global society, where the exchange of information is essential, the quest for finding the most effective translation methods is crucial. In this article, we present the study results regarding three popular translation helpers: CAT translation, MTPE and AI (chat GPT). We tested them in five categories of medical texts: labels of medicines, medical results, academic texts, technical texts and general texts. The three helpers were assessed in terms of the time needed for translation (assuming that 100% of the time is for CAT method) and accuracy. We will also present the strengths and weaknesses of each helper. Polish to English translation of medical texts First, we tested the three greats in Polish to English