The technology used to create automatic translation services primarily involves natural language processing (NLP) and machine learning. These technologies analyze and interpret human language to provide real-time translations between different languages. Applications like Google Translate utilize vast amounts of data to train algorithms, which learn contextual meanings, sentence structures, and grammar rules. This enables the system to continuously improve its accuracy and fluency in translations. As advancements in AI and NLP occur, automatic translation services become more reliable and accessible for users worldwide.