Ever wondered how our software understands subtle nuances in speech? Let's take a quick look under the hood.
The Transformer Architecture
Traditional recurrent neural networks read sentences sequentially and often forget the beginning of a paragraph by the time they reach the end. Anolig utilizes state-of-the-art Transformer Models equipped with spatial "Attention Mechanisms".
Why "Attention" Matters
Attention allows the algorithm to view the entire spoken paragraph as a holistic concept. Before outputting the subtitle text, it actively compares the relationship between every single word, preventing embarrassing literal mistranslations of idioms or slang.
By combining this architecture with optimized C++ execution binaries, we deliver server-grade intelligence inside a pristine, offline desktop app.