Pangeanic Blog

Exploring the impact of Artificial Intelligence on translation and other professions

Pangeanic, a leading provider of language technology, has joined the GreenSCENT (Smart Citizen Education for a Green Future) project to facilitate the dissemination of environmental information in multiple languages. GreenSCENT aims to educate and...

2023 will be remembered for the two methodologies that have emerged as leaders: Large Language Models (LLMs) and Neural Machine Translation (NMT) systems.

The proliferation of machine translation systems has surged in the global digital landscape, powered primarily by advancements in Natural Language Processing (NLP) and Artificial Intelligence (AI). While these systems exhibit remarkable abilities in...

The HIPAA Privacy Rule was developed in response to the healthcare sector's growing reliance on information technology to enhance service delivery efficiency. Thus, the intention behind it is to protect data privacy in a complex landscape such as...

What are back translation and synthetic data?

Back translation and synthetic data are two popular and common techniques used to augment training datasets for Machine Translation (MT) systems and to enhance their performance.

The European Commission has announced its entry into the field of machine translation with the aim of streamlining the dissemination of its press releases in various languages. Since last Monday, the institution has begun using machine translation...

The arrival of deep learning poses a particularly optimistic conundrum in the development of Artificial Intelligence: what if machines were capable of learning on their own, in the same way that we humans do?

If you are a content manager and own a business, you know how much time writing takes. One of your writers may produce content for your blog every week, for example, a content-rich article of about 1,000 words. It soon adds up to 10,000 words of...

The rise of eLearning has made education more accessible than ever before. The eLearning industry is valued at $315B in revenue, which makes it a lucrative sector many companies are stepping into. However, eLearning providers face one challenge:...