How TranslAide works
The system relies on neural networks with self-learning capability which constantly improves the quality of translation.
We start by collecting bilingual documents from a given industry in a variety of formats. We extract and organise the content.
Thus pre-processed material is used to train the translation engine. Neural networks and algorithms compare bilingual sentences in specific contexts and examine the analogies between the translations of words, phrases and entire sentences.
The translator is ready to translate domain-specific texts! It delivers quality output with accurate and consistent terminology always matching the relevant context. Edits and new translations are stored thus making machine-generated translation better and better.
