«We had a phenomenal setup with our content management system feeding automatically into and out of XTM. Adding SYSTRAN MT to the process made it even better. Then with the release of XTM 12.7 and neural fuzzy adaptation, we found gold. Now we’re able to harness the very best of both machine translation and human editing for outstanding cost efficiency»
How does it work
The XTM AI-enhanced TM feature sends fuzzy matches to the neural machine translation engine as reference material. Those fuzzy matches come from the translation memory and provide additional clues to the MT engine. Translation memories and machine translation work hand in hand to find the best translation. The quality of Machine Translation gets optimized in real time to save post-editing efforts. Validated translation memories are key here and a very valuable asset for companies who translate contents. With the AI-enhanced TM feature, validated translations from the translation memories help the MT engine produce a high-quality translation based on validated content stored in the TM.
Increase in productivity
Reduction in post-editing effort
Improvement of the machine translation output
Translation quality enhancement on new content (content not seen by the engine during the training)