The answer is yes. MT engines don’t rely on quantity alone. The quality of data is also important. Today’s MT engines use AI and deep neural networks to make sophisticated connections that depend on high-quality data, which provides the necessary context for the MT engine to make the right translation. Sources of high-quality data include glossaries, translation memories, and text segments that have already been translated properly.
Results may differ among MT engine providers, and some may require more data than others to come up with a well-trained custom MT engine. But with high-quality data, it’s possible to see good results.
Once you’re done with your MT engine, it’s time to turn toward finding the right language professional to work with it.
While post-editing work is mostly proofreading and revising denmark mobile database MTPE output in one language, it’s not a good idea to give the work to someone who’s monolingual, or unfamiliar with the source language. Machine translation still isn’t perfect, so there may still be errors that only a human translator is able to catch.
You’ll also want your post-editor to have a background in your particular sector. For example, if you’re in law, what you need is a language professional with a legal background. For the healthcare industry, someone also working in medicine would be appropriate. And so on.
Apart from their knowledge of languages in general, knowledge of your industry’s linguistic terms and their contexts will help your post-editor work more effectively.
Provide Adequate Training
Ensure post-editors receive proper training on using the MT system and adhering to your guidelines. Comprehensive training should cover how to effectively utilize the MT software, understand the nuances of post-editing, and apply the established guidelines consistently.