Artificial Intelligence (AI) is revolutionizing the translation industry. The basic idea behind AI technology applied to translation is to use advanced machine learning algorithms to translate text from one language to another. AI translation systems can be trained to translate text by analyzing large amounts of past translation data. This data is often human-translated content, since feeding the AI translation data done by a human professional often brings about more precise results.
Some argue that AI translation systems are becoming increasingly accurate and can be used to produce high-quality translations in a variety of fields, including legal, medical, business, and technical. However, there is one critical element that is not achievable using only AI translation: context. Even trained translation systems (containing translation memories) struggle when it comes to understanding the particular meaning of a word when used in a specific setting.
Our solutions are robust and focus on taking all the elements of a multilanguage project, and converting them to the target languages regardless of format, type of assets, language and difficulty.
Take the word “shot”, for example, and its translation to Spanish depending on the context:
In a medical context: Inyección
In a context related to guns: Disparo
In the context of drinks: Chupito
There are many more similar examples.
