Translation Memory (TM) leverages previously translated materials by breaking them up into manageable “segments” in different languages . Computer Aided Translation (CAT) software makes the translation process faster and more cost-effective, as our linguists don’t need to spend time on phrases/words that have been translated before. You also maintain
consistency, accuracy, and quality control. All reference materials are stored in the tool such as; glossary, non-translatable lists, segmentation rules, and style guides. CQ fluency maintains the TM on a regular basis by continuously removing old, inconsistent and incorrect translations from the TM. Our human translators oversee the original content and the highlighted matches/repetitions, and assess the translation for modification. Upon completion of any translation project, the TM is updated accordingly. You have server-based, real-time access to an exportable, universal file format (TMX).
Machine translation (MT) is the process of using artificial intelligence (AI) to automatically translate content from one language (the source) to another (target) without human input (using a computer application called an MT engine). Neural MT uses machine learning to teach the system how to produce the best results. this is becoming the standard MT engine but requires more CPU processing power. MT is often used for gisting – quick understanding of a document’s meaning. Otherwise post editing by a professional linguist will often be required. This can include light PE – post editing that is focused on key critical issues and not a full review or heavy PE – post editing that is focused on improving the MT content for readability and to train an MT engine.