Speech translation vs. Interpreting

Artificial intelligence (AI), deep learning technologies and big data have impacted on the interpretation market AI-based can be used in automated speech translation. The first experiments to create an automatic interpreter took place at end of 1980s early 1990s. Today, there are several devices available which attempt fully automatize interpreting process, both consecutive simultaneous mode a limited number specific communication situations. This article reviews history mechanism provides comparison human interpreting. It also presents main features use cases translation (AST). By showing that two activities intrinsically different, it argues they need distinguished more clearly by defining speech-to-speech (S2S) language transfer accomplished computers as (AST) keeping term ‘interpreting’ for activity. Automated has undeniable role today’s world, steeped technology AI. However, needs underlined is completely different from complex service interpreters provide circumstances contexts its advised Therefore, real question how AST complement each other, other words, what situations where desired applicable when interpreting?